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Job Description Job Description Velocitor Solutions is a leader in enterprise fleet management and mobile innovation, celebrating over 25 years of profitably growing technology. We go beyond standard telematics by offering a comprehensive, managed ecosystem-managing over 200,000 mobile assets for Fortune 500 clients across North America. Our V-Track platform integrates GPS tracking, AI-powered video telematics, and real-time data to drive safety and efficiency. We are in a pivotal phase of growth and looking to expand technology team. Why Join Velocitor Solutions You'll own critical infrastructure and network outcomes in a high-availability environment where reliability, security, and operational excellence directly impact customers. You'll also help modernize and simplify our stack (including virtualization evolution and cloud optimization) while partnering closely with product, managed services, and vendors to deliver measurable improvements. Position Summary The Senior Network / Infrastructure Engineer is responsible for the design, implementation, maintenance, and optimization of Velocitor Solutions' network, server, virtualization, cloud, and security infrastructure. This role ensures the availability, reliability, performance, and security of enterprise systems supporting business operations and customer-facing platforms. The Senior Network / Infrastructure Engineer serves as a technical lead for infrastructure initiatives and collaborates with internal teams, vendors, and stakeholders to deliver scalable and secure technology solutions. Essential Duties and Responsibilities Infrastructure Administration Administer and maintain VMware vSphere, ESX, and ESXi environments, including system upgrades, patch management, performance tuning, capacity planning, backup, disaster recovery, and troubleshooting. Support infrastructure modernization efforts, including virtualization platform migrations and cloud integration projects. Manage enterprise storage and compute platforms, including SAN, NAS, and converged infrastructure solutions. Monitor system performance and implement improvements to maximize reliability and efficiency. Cloud & Platform Management Administer Microsoft Azure environments, including networking, compute resources, storage, monitoring, security, and cost management. Deploy, manage, and support Kubernetes clusters and containerized applications. Support Docker environments, image repositories, runtime security, and application scalability. Configure and maintain load balancing solutions and associated network services. Network Engineering Design, implement, maintain, and troubleshoot enterprise LAN, WAN, wireless, voice, and video network environments. Configure and support routers, switches, firewalls, VPNs, VLANs, QoS, DHCP, DNS, and related technologies. Monitor network performance and resolve connectivity, latency, and security issues. Maintain secure remote access solutions and network security controls. Security & Compliance Manage secure data transfer systems, including SFTP and managed file transfer platforms. Maintain SSL/TLS certificates and encryption technologies across infrastructure platforms. Assist with vulnerability remediation, security hardening, and compliance-related initiatives. Support audits and security assessments as required. Operational Excellence Develop and implement automation solutions to improve operational efficiency and system reliability. Maintain monitoring, alerting, logging, and performance management systems. Participate in incident response, root cause analysis, and corrective action planning. Participate in on-call support rotations and after-hours maintenance activities as needed. Documentation & Collaboration Create and maintain technical documentation, diagrams, standards, procedures, and runbooks. Collaborate with software development, product, support, and business teams to support organizational initiatives. Coordinate with vendors and third-party service providers to resolve issues and implement solutions. Provide technical guidance and mentorship to junior team members when appropriate. Required Qualifications Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field; equivalent experience may be considered. Minimum of five (5) years of experience in a senior-level network or infrastructure engineering role. Strong experience supporting enterprise VMware environments. Strong experience administering Microsoft Azure environments. Hands-on experience with Kubernetes and containerized application platforms. Extensive knowledge of TCP/IP networking, routing, switching, VPNs, wireless networking, and network security. Experience administering enterprise firewalls, including SonicWall, Cisco ASA, or Palo Alto. Experience with Windows Server, Active Directory, Group Policy, and Microsoft Exchange environments. Working knowledge of Microsoft SQL Server administration and support. Strong troubleshooting, analytical, and problem-solving skills. Excellent verbal and written communication skills. Preferred Qualifications Industry certifications such as CCNA, CCNP, VCP, NCP, Azure Administrator (AZ-104), Azure Solutions Architect (AZ-305), Security+, or equivalent. Experience with Nutanix platforms and virtualization migrations. Experience with Cisco UCS, NetApp storage solutions, and FlexPod environments. Experience with IIS, Tomcat, and enterprise email security solutions. Experience supporting monitoring, endpoint management, backup, and disaster recovery platforms. Knowledge, Skills, and Abilities Strong understanding of enterprise infrastructure architecture and best practices. Ability to manage multiple projects and priorities simultaneously. Ability to work independently with minimal supervision. Strong organizational and documentation skills. Ability to identify opportunities for process improvement and automation. Commitment to maintaining secure, reliable, and scalable technology environments. Physical Requirements Ability to sit for extended periods while working at a computer. Ability to occasionally lift and carry equipment weighing up to 50 pounds. Ability to work in server rooms and data center environments. Ability to travel occasionally between company locations or vendor sites as needed. Working Conditions Primarily office-based environment. Occasional after-hours, weekend, or emergency support may be required. Participation in on-call support rotations is required. Velocitor Solutions is an Equal Opportunity Employer and values diversity at all levels of the organization. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other protected status under applicable law.

WORK AUTHORIZATION: This position is not eligible for employment visa sponsorship now or in the future. About This Role The Manager of Enterprise Systems Integration is responsible for owning the enterprise integration strategy, platforms, and architectural standards that enable secure, resilient, and scalable data and application connectivity across the organization ensuring the operational resiliency and stability of the organization's enterprise integration platform. This role manages a dedicated engineering team, supplemented by a variable pool of staff augmentation consultants, focused on the hands-on development and support of data flows across Informatica, IBM, and Azure suites. The primary accountability is maintaining the availability and reliability of all enterprise-wide integration and data movement systems that underpin the retail supply chain, digital platforms, and Saas ecosystems. This role also leads the strategic evolution of integration patterns from legacy batch-oriented implementations to API-led and event-driven architectures, enabling real-time business capabilities, analytics, and AI/ML use cases. The scope includes platform health, architectural integrity, and operational resiliency. What You'll Do Directly manage and lead a dedicated engineering team plus a variable pool of staff augmentation consultants, overseeing resource allocation, skills development, and large-scale delivery. Maintain accountability for the performance, availability, and operational resiliency of all enterprise-wide data movement and integration points, including 24/7 production coverage. Manage the engineering standards, platform usage models, and implementation approaches for engineering of data flows using Informatica Power Center, IBM Sterling/Broker, IBM APIC, and Azure APIM/ADF. Ensure all solution architectures for data movement align with approved enterprise standards and "enterprise architecture standards". Lead the progressive migration of data integration patterns from scheduled batch movement to integration, including API-led connectivity, modern, event-driven architectures, and real-time data streaming, while ensuring controlled migration from legacy batch-based patterns with no disruption to business operations. Provide hands-on mentorship and lead by example to develop the technical competencies of the integration engineering staff. Own enterprise API lifecycle management, including design standards, versioning, reuse, deprecation, and external partner exposure, ensuring integrations are secure, discoverable, and reusable across the enterprise. Who You Are You are a strategic technology leader who thrives in complex integration environments and values operational excellence. You bring strong technical depth and enjoy leading teams while advancing modern data and integration capabilities. Required Skills Engineering Leadership: 10+ years of experience in systems integration engineering, with 3+ years in a formal people leadership role managing teams of 10+ FTE developers, including experience managing on/offshore staff augmentation consultants. Technical Stack Proficiency: 5+ years of hands-on experience with enterprise integration and data platform tooling, including Informatica (PowerCenter, DEI), IBM middleware (Sterling, Message Broker, APIC), Azure integration services (ADF, APIM), Hadoop, Databricks. Experience with Informatica, Hadoop and Databricks is required. Modernization Expertise: 5+ years leading modernization initiatives transitioning enterprise environments from batch-processing to Event-Driven Architecture (EDA), with demonstrated emphasis on operational continuity during migration. Operational Management: 5+ years managing production integration systems at high volume, with a strong understanding of supply chain data requirements in a retail context; proficiency with enterprise ITSM tooling, for incident and change management. Applied AI: Practical understanding of AI/ML as it applies to integration engineering - including AIOps tooling for intelligent monitoring and anomaly detection, integration patterns that support AI/ML data pipelines, and the governed use of AI-assisted development tools (including GitHub Copilot) within an engineering team. Education: Bachelor's degree in computer science or IS; excellent communication skills to facilitate technical alignment across IT. Compensation Details: $158400 - $205950 per year Why should you join our team? We live our values - W.E.L.I.G.H.T (Winning, Excellence, Love, Integrity, Gratitude, Humility, and Teamwork). Gratitude. Humility. Love. You don't often see values like these in most corporate statements, but Ace is different. These things are important to us. They represent our commitment to the company, our employees, to Ace retailers and to the Ace brand. In addition to providing our employees a great culture, Ace also offers competitive benefits that address life's necessities and perks, many of which expand and improve year after year, including: Incentive opportunities, based on role/grade level (company growth over the past 5 years resulted in incentives being paid out at an average of 122% of your target opportunity!) Generous 401(k) retirement savings plan with a fully vested matching contribution the first year in addition to quarterly contributions and annual discretionary contribution (once eligibility requirements have been met). Over the past 5 years, company contributions (matching, quarterly & discretionary) for fully eligible employees have averaged 10% of total eligible compensation Comprehensive health coverage (medical, dental, vision and disability - up to 26 weeks short-term disability and long-term disability) & life insurance benefits for you and your dependents 21 days of vacation immediately available (prorated in the first year) and up to 6 paid holidays depending on the month of hire Company Car, phone and fuel card are provided for field-based positions Your career at Ace is more than just a job. It's a chance to be part of something meaningful. We help locally-owned businesses thrive and make an impact in their communities - and we support our employees in doing the same by offering an annual Ace Cares Week, 20 hours off work per year to volunteer at an organization of your choice, opportunities to help Children's Miracle Network Hospitals and the Ace Helpful Fund through the Ace Foundation Ace invests in every employee we hire, with a key focus on development and coaching. We offer on-site classes, facilitator-led courses, and a generous tuition assistance program, plus a performance management approach that goes beyond the typical annual review We know the work environment matters. That's why Ace holds frequent campus events like Employee Appreciation Week, vendor demos, cookouts, and merchandise sales We bring them to you! Services such as mobile spas, auto maintenance, car wash and detailing, dry cleaning, dentists, eye doctors, flu shots, recycling and more! Employee discounts on Ace merchandise (including top brands like Weber, Traeger, Yeti, Craftsman, DeWalt and more), travel, fitness, computers and thousands more Birth/Adoption bonding paid time off Adoption cost reimbursement Employee Assistance Program (EAP) - access to free visits to therapists and lawyers, guidance on financial matters, elder and childcare, and assistance with tickets to entertainment events Identity theft protection Benefits are provided in compliance with applicable policies. Want to be notified when new jobs are posted? Follow the link below to create an account and set up custom job alerts: Create Job Alert We want to hear from you! When most people think of career opportunities with Ace Hardware, they often think of the helpful cashiers and sales associates at their local store. However, have you also considered the people behind the scenes who select, promote, ship and process the invoices for more than 75,000 products? Maybe you haven't, but we'd like you to. Because together we help our customers take care of their homes. Come find out why a career with the Ace Hardware Corporation is one of America's best kept secrets. Equal Opportunity Employer Ace Hardware Corporation is committed to a policy of promoting equal employment opportunities. The company recognizes the importance of diversity and leveraging the skills and talents of all people to the mutual advantage of each individual and the organization. The company is committed to the prevention of employment discrimination related to race, religion, color, sex (including sexual harassment), gender identity, national origin, age, marital status, disability and military or veteran status, sexual orientation or any other action covered by federal or applicable state/local laws. Disclaimer The pay range for this position starts as listed in the job posting, but could be higher based on education and experience. Please note, compensation decisions are dependent on the facts and circumstances of each opening. We take into consideration the minimum requirements outlined in the job description, such as an individual's education, training and experience, the position's work location, required travel (if any) . click apply for full job details

Mentor, Summer College Immersion Program-6 Georgetown University comprises two unique campuses in the nation's capital. With the Hilltop Campus located in the heart of the historic Georgetown neighborhood, and the Capitol Campus, just minutes from the U.S. Capitol and U.S. Supreme Court, Georgetown University offers rigorous academic programs, a global perspective, and unparalleled opportunities to engage with Washington, D.C. Our community is a close-knit group of remarkable individuals driven by intellectual inquiry, a commitment to social justice, and a shared dedication to making a difference in the world. Requirements 2026 Mentor, Summer College Immersion Program Georgetown University General Information: Mentors supervise and provide an enriching and educational experience for a cohort of up to 25 high school students. The ideal applicant is energetic and enthusiastic about academic enrichment and the college experience. Successful Mentors take the initiative to solve problems, communicate with clarity and empathy with students and staff, and maintain strong organizational habits to manage daily responsibilities effectively. This academic support role collaborates with other Mentors, the Assistant Academic Director, and the Academic Director to implement the program. Summer College Immersion Program: The Summer College Immersion Program (SCIP) is a scholarship program for high school students from partner schools in the Kipp, Cristo Rey, and Achievement First networks across the country. This 3-week program at Georgetown provides a taste of the college experience with a mix of lectures, sample classes, off-site visits, and team building. In addition, students explore all aspects of the College search and application process. Responsibilities: Program Development Completing online training and in-person training. Learning about the program subject(s) to understand course material and better support the student experience. Assisting in the final planning stages of the program. Planning and preparing for discussions sections and team building. Working with other Mentors and the Assistant Academic Director (AAD) to develop group hands-on experiences. Program Implementation Attending and engaging in all program activities, including but not limited to lectures, guest speakers, discussions, and off-site visits. Maintaining daily and event attendance records. Providing daily academic and classroom support, such as: leading check-ins, discussion sections and/or reflections, assisting students with assignments and projects. Ensuring students are aware of and engaged in daily activities. Answering general inquiries and questions about schedules, policies, and procedures. Student Affairs Building community and belonging amongst the students and staff. Creating a safe and supportive academic environment for students. Working collaboratively with residential staff to create an inclusive and welcoming environment. Enforcing University policies, procedures, and regulations for students. Establishing appropriate boundaries with students in compliance with the University's Protection of Minors Policy. Providing support to students dealing with personal concerns (e.g. stress, homesickness, relationship difficulty) that may detract from their academic experiences. Providing support to students facing insecurity, unfamiliarity, and other challenges associated with adjusting to college learning and a diverse university campus. Reflecting with students on their learning processes and their academic and professional goals. Reporting unsafe, inappropriate, or concerning behavior, student conduct issues, and emergencies to appropriate parties for resolution. Connecting students to resources on campus, as appropriate. Other duties as assigned. Schedule: Training Part I (Online) May 18, 2026 Training Part II June 2 - 4, 2026 or June 16 - 18, 2026 Summer College Immersion Program in Session July 5 - July 24, 2026 Work Hours: Approximately 2 - 5 hours per week before the first program launches. Approximately 40 - 55 hours per week while the program runs. Some evening, weekend, and overtime hours may be required once programs begin (not to exceed 20 overtime hours per week). Terms: Mentors are designated for the spring and summer 2026 term with dates of employment from May 18 through August 8, 2026. Mentors are full-time and precluded from having simultaneous obligations during the designated time commitment. Employment with the University is at will and may be terminated by Mentors or the University at any time without notice or cause. Employment with the University should not be considered as an implied or explicit guarantee of employment or as a personal contract. Failure to meet the standards and expectations of the University, the School of Continuing Studies, and the Office of Summer and Special Programs may result in termination. Mentors forfeit any provided university housing and meal plan once terminated. Compensation: Pay: $18.40 per hour. Housing: University housing provided during assigned working weeks and during off-weeks between program assignments. Meals: Meal plan provided during assigned working weeks and during off-weeks between program assignments; boxed meals available during off-site visits that overlap with breakfast, lunch, or dinner. Minimum Qualifications: Current or graduating undergraduate or graduate student or recently graduated. Proficiency in MS Office, Google Suite, and Zoom. Preferred Qualifications: Current or graduating GU student. SCIP Alumnus. Experience working in an educational setting. Experience working with faculty. Experience working with high school students. Supervisory and/or leadership experience. Institutional knowledge of Georgetown University. Knowledge or experience relating to the Academy subject matter is a plus. How to Apply Please review the information and steps below carefully - only applicants who have completed both applicable steps will be considered. For more information, review our hiring website or if you have any questions, email . Student Applicants (current Georgetown University student) Submit your application through Workday. Please use this link: Upload Resume and Cover Letter. Instructions will be noted in job posting. Fill out the Summer Staff Questionnaire form. A link to this form can be found directly in the job posting, or using this link: Summer Staff Questionnaire . External Applicants Submit your application through Workday. Please use this link: Upload Resume and Cover Letter. Instructions will be noted in job posting. Fill out the Summer Staff Questionnaire form. A link to this form can be found directly in the job posting, or using this link: Summer Staff Questionnaire . Qualified applicants will be invited for an interview in February. A criminal background check of selected candidates is required. Current Georgetown Employees: If you currently work at Georgetown University, please exit this website and login to GMS ( gms.georgetown.edu ) using your Net ID and password. Then select the Career worklet on your GMS Home dashboard to view Jobs at Georgetown. Submission Guidelines: Please note that in order to be considered an applicant for any position at Georgetown University you must submit a resume for each position of interest for which you believe you are qualified. Documents are not kept on file for future positions. Need Assistance: If you are a qualified individual with a disability and need a reasonable accommodation for any part of the application and hiring process, please click here for more information, or contact the Office of Institutional Diversity, Equity, and Affirmative Action (IDEAA) at or . Need some assistance with the application process? Please call . For more information about the suite of benefits, professional development and community involvement opportunities that make up Georgetown's commitment to its employees, please visit the Georgetown Works website . EEO Statement: GU is an Equal Opportunity Employer . All qualified applicants are encouraged to apply, and will receive consideration for employment without regard to age, citizenship, color, disability, family responsibilities, gender identity and expression, genetic information, marital status, matriculation, national origin, race, religion, personal appearance, political affiliation, sex, sexual orientation, veteran status, or any other characteristic protected by law . Benefits: Georgetown University offers a comprehensive and competitive benefit package that includes medical, dental, vision, disability and life insurance, retirement savings, tuition assistance, work-life balance benefits, employee discounts and an array of voluntary insurance options. You can learn more about benefits and eligibility on the Department of Human Resources website . To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-adade5b7ac2b3a4b87a82c245b045049

Mentor, College Prep Georgetown University comprises two unique campuses in the nation's capital. With the Hilltop Campus located in the heart of the historic Georgetown neighborhood, and the Capitol Campus, just minutes from the U.S. Capitol and U.S. Supreme Court, Georgetown University offers rigorous academic programs, a global perspective, and unparalleled opportunities to engage with Washington, D.C. Our community is a close-knit group of remarkable individuals driven by intellectual inquiry, a commitment to social justice, and a shared dedication to making a difference in the world. Requirements 2026 Mentor, College Prep Georgetown University General Information: Mentors supervise and provide an enriching and educational experience for a cohort of up to 25 high school students. The ideal applicant is energetic and enthusiastic about academic enrichment and the college experience. Successful Mentors take the initiative to solve problems, communicate with clarity and empathy with students and staff, and maintain strong organizational habits to manage daily responsibilities effectively. This academic support role collaborates with other Mentors, the Assistant Academic Director, and the Academic Director to implement the program College Prep: The College Prep Program is a 5-week program designed to help high school students develop valuable skills to succeed in college and beyond. Students take undergraduate-level courses, attend lectures, test preparation seminars, and group sessions led by program staff. The College Prep Mentors will help facilitate sessions on topics such as college life, the application process, and study tips. In addition, they will hold coffee hours for the students to drop in and meet with them to ask questions, talk about their class, etc. Responsibilities: Program Development Completing online and in-person training. Learning about the program subject(s) to understand course material and better support the student experience. Assisting in the final planning stages of the program. Planning and preparing for discussions sections and team building. Working with other Mentors and the Assistant Academic Director (AAD) to develop and execute group hands-on experiences. Program Implementation Attending and engaging in all program activities, including but not limited to lectures, guest speakers, discussions, and off-site visits. Maintaining daily and event attendance records. Providing daily academic and classroom support, such as: leading check-ins, discussion sections, and/or reflections, assisting students with assignments and projects. Ensuring students are aware of and engaged in daily activities. Answering general inquiries and questions about schedules, policies, and procedures. Student Affairs Building community and belonging amongst the students and staff. Creating a safe and supportive academic environment for students. Working collaboratively with residential staff to create an inclusive and welcoming environment. Enforcing University policies, procedures, and regulations for students. Establishing appropriate boundaries with students in compliance with the University's Protection of Minors Policy. Providing support to students dealing with personal concerns (e.g. stress, homesickness, relationship difficulty) that may detract from their academic experiences. Providing support to students facing insecurity, unfamiliarity, and other challenges associated with adjusting to college learning and a diverse university campus. Reflecting with students on their learning processes and their academic and professional goals. Reporting unsafe, inappropriate, or concerning behavior, student conduct issues, and emergencies to appropriate parties for resolution. Connecting students to resources on campus, as appropriate. Other duties as assigned. Schedule: Training Part I (Online) May 18, 2026 Training Part II June 2 - 4, 2026 or June 16 - 18, 2026 College Prep in Session July 6 - August 7, 2026 Work Hours: Approximately 5 - 10 hours before the first program launches. Approximately 15 - 25 hours per week while the program runs. Some evening, weekend, and overtime hours may be required once programs begin (not to exceed 20 overtime hours per week). Terms: Mentors are designated for the spring and summer 2026 term with dates of employment from May 18 through August 8, 2026. Mentors are expected to live among College Prep Program participants and will facilitate evening residence study halls as scheduled. Mentors are precluded from having simultaneous obligations that conflict with scheduled hours, which include most of the day on Fridays while the program is running. Employment with the University is at will and may be terminated by Mentors or the University at any time without notice or cause. Employment with the University should not be considered as an implied or explicit guarantee of employment or as a personal contract. Failure to meet the standards and expectations of the University, the School of Continuing Studies, and the Office of Summer and Special Programs may result in termination. Mentors forfeit any provided university housing and meal plan once terminated. Compensation: Pay: $18.40 per hour. Housing: University housing provided during assigned working weeks and during off-weeks between program assignments. Meals: Meal plan provided during assigned working weeks and during off-weeks between program assignments; boxed meals available during off-site visits that overlap with breakfast, lunch, or dinner. Minimum Qualifications: Current or graduating undergraduate or graduate student or recently graduated. Proficiency in MS Office, Google Suite, and Zoom. Preferred Qualifications: Current or graduating GU student. Experience working in an educational setting. Experience working with faculty. Experience working with high school students. Supervisory and/or leadership experience. Institutional knowledge of Georgetown University. Knowledge or experience relating to the Academy subject matter is a plus. How to Apply Please review the information and steps below carefully - only applicants who have completed both applicable steps will be considered. For more information, review our hiring website or if you have any questions, email . Student Applicants (current Georgetown University student) Submit your application through Workday. Please use this link: $158872/9925$36017.htmld Upload Resume and Cover Letter. Instructions will be noted in job posting. Fill out the Summer Staff Questionnaire form. A link to this form can be found directly in the job posting, or using this link: Summer Staff Questionnaire . External Applicants Submit your application through Workday. Please use this link: Upload Resume and Cover Letter. Instructions will be noted in job posting. Fill out the Summer Staff Questionnaire form. A link to this form can be found directly in the job posting, or using this link: Summer Staff Questionnaire . Qualified applicants will be invited for an interview in February. A criminal background check of selected candidates is required. Current Georgetown Employees: If you currently work at Georgetown University, please exit this website and login to GMS ( gms.georgetown.edu ) using your Net ID and password. Then select the Career worklet on your GMS Home dashboard to view Jobs at Georgetown. Submission Guidelines: Please note that in order to be considered an applicant for any position at Georgetown University you must submit a resume for each position of interest for which you believe you are qualified. Documents are not kept on file for future positions. Need Assistance: If you are a qualified individual with a disability and need a reasonable accommodation for any part of the application and hiring process, please click here for more information, or contact the Office of Institutional Diversity, Equity, and Affirmative Action (IDEAA) at or . Need some assistance with the application process? Please call . For more information about the suite of benefits, professional development and community involvement opportunities that make up Georgetown's commitment to its employees, please visit the Georgetown Works website . EEO Statement: GU is an Equal Opportunity Employer . All qualified applicants are encouraged to apply, and will receive consideration for employment without regard to age, citizenship, color, disability, family responsibilities, gender identity and expression, genetic information, marital status, matriculation, national origin, race, religion, personal appearance, political affiliation, sex, sexual orientation, veteran status, or any other characteristic protected by law . Benefits: Georgetown University offers a comprehensive and competitive benefit package that includes medical, dental, vision, disability and life insurance, retirement savings, tuition assistance, work-life balance benefits, employee discounts and an array of voluntary insurance options. You can learn more about benefits and eligibility on the Department of Human Resources website . . click apply for full job details

Position Title: Open Rank Tenure Line Faculty in Artificial Intelligence, Machine Learning, and Data Science Job Posting Number: TTL Job Location: San Marcos Department: Ingram School of Engineering Position Description: The Ingram School of Engineering invites applications for a tenure-track faculty position at the ranks of Assistant Professor, Associate Professor, or Professor. This position is directly supported and motivated by the University's Run to R1 strategic initiative, which seeks to elevate Texas State University to a "Very High Research Activity" (Research-1) status. The school's priorities are fully aligned with the university's Road to R1 goals, ensuring strong institutional support, access to advanced research infrastructure, and expanded opportunities for securing significant external funding. Strategic Research AreasThe Ingram School of Engineering seeks to strengthen its research portfolio in Artificial Intelligence, Machine Learning, and Data Science, one of the university's strategic research areas.The successful candidate will be expected to: Increase the research capabilities of the Ingram School of Engineering in Artificial Intelligence, Machine Learning and/or Data Science. Demonstrate a strong commitment to student-centered teaching and mentorship at both undergraduate and graduate levels. Collaborate with faculty across the Ingram School of Engineering, the College of Science and Engineering, and other Texas State departments. Contribute to curriculum and program development. Build partnerships with external stakeholders, including industry professionals, government agencies, national labs, and corporations. Engage in university and professional service and participate in shared governance of the school. Possess expertise in one or more of the following research areas: AI, Machine Learning and/or Data Science for Mechanical and Manufacturing SystemsIncluding AI-enabled digital twins, generative design, structural health monitoring, predictive maintenance, robotics, human-robot interaction, and advanced manufacturing. AI, Machine Learning and/or Data Science for Quality Control and Process AnalyticsLeveraging computer vision, real-time sensing, data analytics, and edge computing for manufacturing quality and efficiency. AI, Machine Learning and/or Data Science for Supply Chain and Industrial OptimizationFocused on smart, sustainable logistics networks, demand forecasting, inventory management, transportation optimization, and process improvement. AI, Machine Learning and/or Data Science for Communications and ComputingCovering next-generation wireless systems, RF technologies, neuromorphic and edge computing architectures, passive RF sensing and energy-efficient AI acceleration. AI, Machine Learning and/or Data Science for Emerging TechnologiesSuch as quantum control systems, hybrid quantum-classical algorithms, and AI-assisted optimization for energy systems. About the Ingram School of Engineering:Founded in 2007 through generous endowments from the Ingram family, the school is dedicated to delivering exceptional education and advancing cutting-edge research across multiple engineering disciplines. We offer Bachelor and Master of Science programs in Civil, Electrical, Industrial, Manufacturing, and Mechanical Engineering, as well as three newly launched Ph.D. programs in Civil Engineering, Electrical Engineering, and Mechanical/Manufacturing Engineering. These doctoral programs emphasize Artificial Intelligence and Disruptive Technologies, innovation, and commercialization. Faculty also contribute to the multidisciplinary Materials Science, Engineering, and Commercialization Ph.D. program within the College of Science and Engineering. Our dynamic environment has contributed to significant enrollment growth, resulting in a doubling of undergraduate and graduate student numbers within the past few years.Our culture emphasizes student-centered learning, multidisciplinary collaboration, and community engagement, preparing graduates for leadership roles in engineering and research. Faculty are doing transformative research in key areas of impact, including AI & machine learning, Industry 4.0 and smart manufacturing, renewable energy, semiconductors, technology enhanced infrastructure, transportation, and water resources, among others.The school has excellent laboratory facilities and centers that foster collaboration and innovation: Infrastructure Research Laboratory (IRL): A $15M state-of-the-art facility for large-scale geo-structural and material testing. Ingram Makerspace: A hands-on innovation hub equipped with 3D printers, CNC machines, laser cutters, and electronics workstations for advanced prototyping and entrepreneurial initiatives. USDOT Tier I University Transportation Center (CREATE) : Focused on coastal infrastructure durability and resilience, including water resources and extreme events. NSF CREST Phase I Center for Ultrawide Bandgap Semiconductor Device Materials: Advancing semiconductor technologies for next-generation applications. Access to university-level centers and shared research operations , including the Meadows Center for Water and the Environment and the Center for Analytics and Data Science (CADS) . Texas State University is strategically located in San Marcos, Texas, in the heart of the Austin-San Antonio corridor, one of the fastest-growing and most dynamic regions in the United States. This prime location provides unparalleled access to a thriving technology and innovation ecosystem in Austin, home to major tech companies, startups, and research hubs, as well as strong connections to San Antonio's industrial, manufacturing, and defense sectors. Faculty and students benefit from proximity to industry leaders, enabling collaborative research, internships, and partnerships that drive innovation and economic impact. To assure full consideration, applications must be submitted by January 15, 2026. Required Qualifications: At the Assistant Professor Level: An earned doctorate in civil engineering, electrical engineering, industrial engineering, mechanical engineering, manufacturing engineering, or a closely related discipline. Evidence of or potential to obtain eternal funding and/or corporate gifts. Evidence of or potential for research excellence in one or more of the research areas mentioned above. Evidence of or potential for excellence in teaching both graduate and undergraduate courses in ABET Accredited engineering programs, including lectures and laboratories. A history of or potential for advising student projects. Demonstrated excellence in written and oral communication. At the Associate Professor Level: An earned doctorate in civil engineering, electrical engineering, industrial engineering, mechanical engineering, manufacturing engineering, or a closely related discipline. Evidence of having obtained eternal funding and/or corporate gifts. Evidence of research excellence in one or more of the research areas mentioned above. Evidence of excellence in teaching both graduate and undergraduate courses in ABET Accredited engineering programs, including lectures and laboratories. A history of advising student projects at both the undergraduate and graduate levels. At the Professor Level: An earned doctorate in civil engineering, electrical engineering, industrial engineering, mechanical engineering, manufacturing engineering, or a closely related discipline. Evidence of an established and current funding record of obtaining eternal funding and/or corporate gifts. Evidence of a nationally and internationally recognized research agenda and a publication record with contributions in one or more of the research areas mentioned above. Evidence of excellence in teaching both graduate and undergraduate courses in ABET Accredited engineering programs, including lectures and laboratories. A history of advising student projects at both the undergraduate and graduate levels. Evidence of an established reputation, leadership and service at the national and international levels. Preferred Qualifications: At the Assistant Professor Level: Evidence of or potential for interdisciplinary research collaboration. Industrial, or post-doctoral experience (in an area of expertise that complements those of the department faculty). At the Associate Professor Level/Professor: Evidence of interdisciplinary research collaboration. Knowledge of ABET accreditation procedures and related deliverables. Evidence of establishing partnerships with national labs and government agencies. Evidence of submitting invention disclosures, obtaining patents, and managing intellectual property. Application Procedures: Only applications submitted through the Texas State University website will be accepted and considered, . To assure full consideration, applications must be submitted by January 15, 2026. The following documentation must be included in the application. Cover letter. Curriculum vitae including: All academic background. List of post-doctoral and/or professional employment. List of published and/or submitted peer-reviewed articles. List of authored . click apply for full job details

Job no: 493133 Work type: Full-Time Staff Location: Arnold/Main Campus Categories: Full-Time Staff Title: Senior Engineer - Infrastructure Department: Info Security & Infrastructure Campus Location: Arnold/Main Campus Salary Range: $110,590-$138,237 Work Mode: This position requires regular in-person presence on campus and at alternative locations, depending on class schedule and other assigned duties. Hours Per Week: 40 Work Schedule: Position Type: Full-Time Staff, Exempt Position Summary This position provides technical solutions in the design, implementation, management, administration and troubleshooting of the Enterprise-wide data network infrastructure/Hybrid Cloud environments. It requires the ability to analyze the needs of user departments and establish priorities for network design accordingly. This position is responsible for network design, hardware recommendation and implementation for all data infrastructure hardware and related software applications. The successful candidate will possess a high degree of experience and skill in managing the installation, testing, monitoring and maintenance of the data communications, wireless, and IP based services environment to include voice communications and security cameras. Information and Instructional Technology team members must be dedicated to fostering a culture of excellence. Successful candidates will help IIT build our culture by enabling frictionless service, valuing feedback, and embracing continuous improvement and learning. To support this foundation, IIT has established five pillars. These pillars create a collaborative, supportive, and inclusive professional culture. Successful candidates will be skilled technologists who value AACC's community and people. They will also be empathetic to the challenges faced by our students, faculty, and staff. Our Characteristics of Excellence are the guiding principles of our Division, empowering our teams to deliver exceptional results and drive success. Successful candidates will treat people with respect, dignity, and fairness, consistently delivering quality results and following through on commitments and responsibilities. They will cultivate teamwork and collaboration, embrace opportunities for improvement and innovation, and maintain open and honest communication with integrity. Additionally, they will appreciate the value of simple, efficient solutions, recognize the importance of building positive relationships, and respect others' time. Job Duties and Responsibilities Lead efforts to develop and implement comprehensive network infrastructure system designs that meet business requirements by utilizing technology in a cost effective and scalable manner. Provide design, configuration, implementation, monitoring, and support for enterprise/Hybrid network infrastructure (routers and switches) wireless, and video systems. Responsible for hands-on engineering activities to ensure the successful operation of a mission critical Hybrid network architecture spanning multiple data centers and sites. Leads efforts to define and execute ongoing network security, health maintenance plans, processes, procedures, documentation, and operations for the enterprise infrastructure system in accordance with industry standards and guidelines. Provide guidance and assistance to the IIT team in the implementation and administration of system monitoring tools. Monitor performance and tuning of key technology components for the college's network infrastructure; recommend changes or enhancements to resolve stability and performance issues based on findings. Maintain statistics on system performance and availability. Practice effective project management skills, including the ability to adequately manage assigned projects and report project progress and status. Lead projects to upgrade and/or expand the network including design, planning, testing, and implementation. Develop and maintain document repositories and architectural diagrams related to the installation, administration, maintenance, and use of systems. Strives to ensure solutions, systems, and content are secure, accessible, inclusive, and compliant with WCAG and other relevant standards. Continuously improves technical skills and knowledge. Documents and tracks service disruptions and requests in the appropriate systems and provides their supervisor with timely updates on project progress, status, and issues. Develop and maintain document repositories and architectural diagrams related to the installation, administration, maintenance, and use of systems. Plan and execute changes which impact the hybrid network infrastructure following established change management processes. Ensure planned testing activities are developed, documented, and executed. Troubleshoot incidents, identify root causes, fix and document problems, and implement preventive measures. Works to ensure availability of applications and services by monitoring systems and services used at all AACC locations. Assist the Director, Information Security & Infrastructure in the college-wide budget planning process to review and ensure new initiatives are properly vetted for technology needs. Support the development of SOW's, RFP's and RFQ's for Information and Instructional Technologies related technologies and maintenance while working very closely with the Purchasing department. Communicate with vendors, customers, management, and technology staff. Maintain expertise of current hybrid Cloud networking trends and provide guidance about direction of various hybrid Cloud networking technologies. Ensure that network infrastructure equipment is installed in dedicated spaces that are physically secure, provide stable temperature and humidity within equipment manufacturer's specified ranges, and have reliable Uninterruptible Power Supply (UPS) units capable of keeping equipment running during power outages of up to 30 minutes. Provides training and guidance to AACC staff and students to develop new technology skills. Required Qualifications: Bachelor's degree Minimum of five years of relevant experience Current industry standard Cloud related certification, i.e. Extreme ECNA, Aruba ACMA, ACMP or other industry recognized networking certification. Possess comprehensive knowledge of, and hands-on experience with Extreme Networks wired network infrastructure products and management software. Considerable experience with cloud (AWS, Azure) networking and/or security. Experience in designing, implementing, and maintaining complex Enterprise Wireless, Local Area Networks (LANs) & Wide Area Networks (WANs), Ethernet and Fiber Optic cabling infrastructures. Knowledge of dynamic routing protocols (RIP, BGP, EIGRP, OSPF, IGRP), IPSEC, wireless and TCP/IP protocols, switched Ethernet and VLAN technologies. Layer 2 and 3 LAN design and operation Preferred Qualifications: Certifications: Extreme Networks Associate, Specialist (ECS) or Professional (ECP) highly desired. However, other industry routing and switching certifications will be considered. Microsoft Azure Network Engineer Associate, or Microsoft Azure Solutions Architect Expert highly desired. However, other Cloud provider certifications will be considered. General Industry Experience: Extreme Networks Routers and Switches, Panduit Cable Management Systems, HPE/Aruba Wireless, FatPipe WAN Optimization and APC UPS experience highly desired. Anne Arundel Community College (AACC) is committed to enriching the educational experience it offers through the diversity of its faculty, administrators, and staff members. The college seeks to recruit and support a broadly diverse team who will contribute to the college's excellence, diversity of viewpoints and experiences, embrace concepts of equity and inclusiveness, and support the equal rights of all people by advancing the understanding and appreciation of differences including age, race, gender, ability, religious convictions, socio-economic status, ethnic heritage, or sexual orientation. While we appreciate your interest in employment with Anne Arundel Community College, applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for any position. Pay dates occur on the 7th and 22nd of each month. If those dates fall on a weekend, the pay date occurs on the Friday prior to the 7th and 22nd. As an employee of the college, you are eligible for a comprehensive benefits package. In the best interest of the College, only individuals who are residents of Maryland or one of the following states will be eligible for employment at the college: Delaware, Pennsylvania, Virginia, West Virginia or the District of Columbia. The college will annually review this restriction and, if appropriate, expand the list of states of employment eligibility. Advertised: 03 Dec 2025 Eastern Standard Time Applications close: Whatsapp Facebook LinkedIn Email App if (typeof SocialShareKit != 'undefined') SocialShareKit.init( forceInit: true, reinitialize: true, selector: '.social-share-kit .ssk' );

Cyber Security Training Developer Job ID: 292890 Location: Augusta University Full/Part Time: Full Time Regular/Temporary: About Us Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than 12,000 students choose Augusta for educational opportunities at the center of Georgia's cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences. Augusta is home to Georgia's only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world-class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values make Augusta University an institution like no other. Augusta University's distinct characteristics in education and research include real-world experiences and community engagement, as well as a culture of building community, corporate and government partnerships that address health, security, economic and societal concerns locally and across the state. The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found online at Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found online at . Location Augusta University - Our Health Sciences Campus: th Street, Augusta, GA 30912 Our Summerville Campus: 2500 Walton Way, Augusta, GA 30904 College/Department Information The Georgia Cyber Innovation and Training Center is the single largest investment in a cybersecurity facility in the nation to date. The $100 million facility will help to fill the current and growing shortage of cybersecurity talent in the state and nation. The Georgia Cyber Innovation and Training Center represents a unique public/private partnership that includes Augusta University, Augusta Technical College, the University System of Georgia's research institutions, the Georgia Bureau of Investigation, and other state, federal, and private-sector partners working together to meet this workforce demand and to innovate, train, and strengthen defenses. The state-of-the-art Center is located in the growing cybersecurity corridor in Augusta, Georgia, that is also home to the U.S. Army Cyber Command and Cyber School of Excellence at Fort Gordon. The Center is located on the downtown campus of Augusta University and houses the School of Computer and Cyber Sciences. Job Summary Produce high-quality, workforce-aligned IT/Cyber training courses quickly and consistently. The Training Developer converts approved blueprints and item banks into complete course packages (lessons, labs, slides, quizzes/exams, learner artifacts), performs light NICE/DoD 8140 tagging, packages materials for the LMS, and resolves defects from pilots, enabling reliable delivery to K-12, higher-ed, government, and industry partners. Responsibilities The duties include, but are not limited to: CURRICULUM DESIGN, DEVELOPMENT, AND MAINTENANCE: Design, develop, and update multi-modal cybersecurity curricula, labs, and instructional materials aligned to the NICE Framework and DoD 8140. Build lessons, labs, slides, handouts from approved blueprints and templates; maintain consistent voice, formatting, and accessibility standards Integrate emerging cybersecurity threat intelligence, industry standards, and partner requirements into courseware. Ensure all content is engaging, technically accurate, and meets adult learning best practices. PILOT SUPPORT AND DEFECT REMEDIATION: Support teach-backs/pilots, collect feedback, resolve content defects within SLAs, and re-issue versioned materials. ASSESSMENT CONSTRUCTION: Assemble quizzes/exams from vetted item banks; map items to outcomes; maintain version control and change logs. LMS PACKAGING & SECTION READINESS: Package content for Canvas; provide section-ready shells, metadata, rubrics, and upload instructions for the Training Director. WORKFORCE MAPPING: Apply light NICE/DoD 8140 tags using provided mapping worksheets; attach alignment artifacts to course folders. DOCUMENTATION & REUSE: Maintain runbooks, lab checklists, asset lists, and quick start guides for instructors; ensure artifact reuse across offerings. COLLABORATION AND CONTINUOUS IMPROVEMENT: Partner with Training Team on schedules, readiness, and quality; participate in item-analysis reviews and content refresh cycles. INSTRUCTIONAL SUPPORT: Provide limited classroom or lab instruction (approximately 5% of time) in cybersecurity or related IT subjects as needed to support GCITC course delivery. Facilitate hands-on learning, reinforce technical concepts, and assess learner understanding in alignment with course objectives and NICE Framework competencies. OTHER: Perform all other duties as assigned. Required Qualifications Bachelor's degree from an accredited college or university in IT/Cyber/IS or related field. OR Associate's degree from an accredited college or university in IT/Cyber or related field and 5+ years building courseware/technical content and 1 relevant certification required (2+ preferred). OR organization and 7+ years creating technical courseware/labs or detailed technical documentation in IT/Cyber and 2+ relevant certifications (e.g., CompTIA Security+, CySA+, Network+/Linux+; Cisco CCNA/CyberOps; AWS Cloud Practitioner/Associate; entry-level GIAC). Preferred Qualifications IT or cyber related professional certifications Knowledge of NIST frameworks, cybersecurity industry, key players, trends, and opportunities Prior experience working with recognized professional education or credentialing granting organizations Knowledge of Bloom's Taxonomy and relevant theory and best practices for adult education and training Experience in utilizing learning management systems and other academic technologies to deliver instruction Preferred Educational Qualifications Experience with item banks, rubrics, and pilot remediation Exposure to K-12/CTAE or workforce programs Additional certifications (e.g., AZ-900, AWS-SA, Linux+, CEH, PMP) relevant to course topics Experience with cyber ranges, virtual lab orchestration, and/or AI-driven learning technologies. Knowledge, Skills, & Abilities KNOWLEDGE Virtual learning environments Target audience requirements Cybersecurity principles and practices and IT security principles and practices Learning assessment tools and techniques (at the level of assembling items from banks) Instructional design principles and practices Instructional design models and frameworks Bloom's Taxonomy learning levels LMS systems and software Training systems and software Media production tools and techniques Computer networking and network security principles and practices SKILLS Developing instructional materials Performing technical writing Developing learning activities Communicating effectively Collaborating with others Applying critical thinking Incorporating feedback Solving problems ABILITIES Maintain confidentiality Produce cybersecurity instructional materials Develop technical training curriculum and resources (within provided blueprints) Develop training modules and classes Develop training assignments Create interactive learning exercises Perform periodic reviews of learning materials for accuracy and currency Shift/Salary/Benefits Shift: Days/M-F (Work outside of normal business hours may be required) Pay Band: B11 Salary: Minimum $56,600/annually Salary to be commensurate with the qualifications of the selected candidate within the established range (generally minimum midpoint) of the position. Recruitment Period: Until Filled Augusta University offers a variety of benefits to full-time benefits-eligible employees and some of our half-time (or more) employees. Benefits that may be elected could include health insurance, dental insurance, life insurance, Teachers Retirement System (or Optional Retirement Plan), as well as earned vacation time, sick leave, and 13 paid holidays. Also, our full-time employees who have been employed with us successfully for more than 6 months can be considered for the Tuition Assistance Program. Consider applying with us today! Conditions of Employment . click apply for full job details

Mentor, 1, 2 and 3-Week Academies Georgetown University comprises two unique campuses in the nation's capital. With the Hilltop Campus located in the heart of the historic Georgetown neighborhood, and the Capitol Campus, just minutes from the U.S. Capitol and U.S. Supreme Court, Georgetown University offers rigorous academic programs, a global perspective, and unparalleled opportunities to engage with Washington, D.C. Our community is a close-knit group of remarkable individuals driven by intellectual inquiry, a commitment to social justice, and a shared dedication to making a difference in the world. Requirements 2026 Mentor, 1, 2 and 3-Week Academies Georgetown University General Information: Mentors supervise and provide an enriching and educational experience for a cohort of up to 25 high school students. The ideal applicant is energetic and enthusiastic about academic enrichment and the college experience. Successful Mentors take the initiative to solve problems, communicate with clarity and empathy with students and staff, and maintain strong organizational habits to manage daily responsibilities effectively. This academic support role collaborates with other Mentors, the Assistant Academic Director, and the Academic Director to implement the program. Programs: Mentors will be assigned to programs based on subject knowledge, experience, and/or availability. 1-Week Academies: American Politics, Artificial Intelligence, International Relations, Law, Medical, Creative Writing, National Security & Intelligence, Nursing, Washington & the World, Democracy, Peace, & Conflict. 2-Week Academies: Sports Industry Management, Entrepreneurship, Forensic Science, Marketing & Personal Branding. 3-Week Academies: Medical Immersion, Foreign Policy, Economics Policy, Business & Leadership, Global Business. Responsibilities: Program Development Completing online and in-person training. Learning about the program subject(s) to understand course material and better support the student experience. Assisting in the final planning stages of the program. Planning and preparing for discussions sections and team building. Working with other Mentors and the Assistant Academic Director (AAD) to develop group hands-on experiences. Program Implementation Attending and engaging in all program activities, including but not limited to lectures, guest speakers, discussions, and off-site visits. Maintaining daily and event attendance records. Providing daily academic and classroom support, such as: leading check-ins, discussion sections, and/or reflections, assisting students with assignments and projects. Ensuring students are aware of and engaged in daily activities. Answering general inquiries and questions about schedules, policies, and procedures. Student Affairs Building community and belonging amongst the students and staff. Creating a safe and supportive academic environment for students. Working collaboratively with residential staff to create an inclusive and welcoming environment. Enforcing University policies, procedures, and regulations for students. Establishing appropriate boundaries with students in compliance with the University's Protection of Minors Policy. Providing support to students dealing with personal concerns (e.g. stress, homesickness, relationship difficulty) that may detract from their academic experiences. Providing support to students facing insecurity, unfamiliarity, and other challenges associated with adjusting to college learning and a diverse university campus. Reflecting with students on their learning processes and their academic and professional goals. Reporting unsafe, inappropriate, or concerning behavior, student conduct issues, and emergencies to appropriate parties for resolution. Connecting students to resources on campus, as appropriate Other duties as assigned. Schedule: Training Part I (Online) May 18, 2026 Training Part II June 2 - June 4, 2026 or June 16 - 18, 2026 Programs in Session June 8 - August 7, 2026 Work Hours: Approximately 40 - 55 hours per week during 1-Week Academies. Approximately 25 - 35 hours per week during 2-Week and 3-Week Academies. Some evening, weekend, and overtime hours may be required once programs begin (not to exceed 20 overtime hours per week). Terms: Mentors are designated for the spring and summer 2026 term with dates of employment from May 18 through August 8, 2026. Mentors will be assigned to work programs for all or portion(s) of this period. Mentors are full-time and precluded from having simultaneous obligations during the designated time commitment. Employment with the University is at will and may be terminated by Mentors or the University at any time without notice or cause. Employment with the University should not be considered as an implied or explicit guarantee of employment or as a personal contract. Failure to meet the standards and expectations of the University, the School of Continuing Studies, and the Office of Summer and Special Programs may result in termination. Mentors forfeit any provided university housing and meal plan once terminated. Compensation: Pay: $18.40 per hour. Housing: University housing provided during assigned working weeks and during off-weeks between program assignments. Meals: Meal plan provided during assigned working weeks and during off-weeks between program assignments; boxed meals available during off-site visits that overlap with breakfast, lunch, or dinner. Minimum Qualifications: Current or graduating undergraduate or graduate student or recently graduated. Proficiency in MS Office, Google Suite, and Zoom. Preferred Qualifications: Current or graduating GU student. Experience working in an educational setting. Experience working with faculty. Experience working with high school students. Supervisory and/or leadership experience. Institutional knowledge of Georgetown University. Knowledge or experience relating to the Academy subject matter is a plus. How to Apply Please review the information and steps below carefully. Only applicants who have completed both applicable steps will be considered. For more information, review our hiring website or if you have any questions, email . Student Applicants (current Georgetown University student) Submit your application through Workday. Please use this link: $158872/9925$35960.htmld Upload Resume and Cover Letter. Instructions will be noted in job posting. Fill out the Summer Staff Questionnaire form. A link to this form can be found directly in the job posting, or using this link: Summer Staff Questionnaire . External Applicants Submit your application through Workday. Please use this link: Upload Resume and Cover Letter. Instructions will be noted in job posting. Fill out the Summer Staff Questionnaire form. A link to this form can be found directly in the job posting, or using this link: Summer Staff Questionnaire . Qualified applicants will be invited for an interview in February. A criminal background check of selected candidates is required. Current Georgetown Employees: If you currently work at Georgetown University, please exit this website and login to GMS ( gms.georgetown.edu ) using your Net ID and password. Then select the Career worklet on your GMS Home dashboard to view Jobs at Georgetown. Submission Guidelines: Please note that in order to be considered an applicant for any position at Georgetown University you must submit a resume for each position of interest for which you believe you are qualified. Documents are not kept on file for future positions. Need Assistance: If you are a qualified individual with a disability and need a reasonable accommodation for any part of the application and hiring process, please click here for more information, or contact the Office of Institutional Diversity, Equity, and Affirmative Action (IDEAA) at or . Need some assistance with the application process? Please call . For more information about the suite of benefits, professional development and community involvement opportunities that make up Georgetown's commitment to its employees, please visit the Georgetown Works website . EEO Statement: GU is an Equal Opportunity Employer . All qualified applicants are encouraged to apply, and will receive consideration for employment without regard to age, citizenship, color, disability, family responsibilities, gender identity and expression, genetic information, marital status, matriculation, national origin, race, religion, personal appearance, political affiliation, sex, sexual orientation, veteran status, or any other characteristic protected by law . Benefits: Georgetown University offers a comprehensive and competitive benefit package that includes medical, dental, vision, disability and life insurance, retirement savings, tuition assistance, work-life balance benefits, employee discounts and an array of voluntary insurance options. You can learn more about benefits and eligibility on the Department of Human Resources website . To apply, visit . click apply for full job details

PeopleSoft and Integration Developer (0652U), Berkeley IT - 82565 About Berkeley At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff. As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value. We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley. Departmental Overview The Application Delivery group (within the Campus Applications & Data Unit) leads the operations of campus software solutions that support the university's enterprise administrative, finance and student systems. The objective of the Application Delivery group is to bring value to campus by securely maintaining these critical systems and supporting a continuous cycle of improvement and feature enhancements in a suite of tightly integrated custom and purchased systems. To ensure the success of these mission-critical systems, Application Delivery is staffed with technical professionals who identify, design, create, test and implement new features, respond to campus needs, and keep all systems running optimally throughout the academic cycle and financial year. Application Delivery partners with areas across the university to ensure systems support efficient and effective operations, while introducing functionality to best support students, faculty, staff, alumni, and community members. Position Summary The PeopleSoft & Integration Developer is responsible for the development, maintenance, and support of Student Information Systems and related integrations. Duties include writing programs in PeopleSoft supported languages and designing, developing, and maintaining database tables, system interfaces, and related components. The role also involves testing, troubleshooting, and documenting technical solutions while collaborating closely with business analysts, user experience designers, system administrators, release management, quality assurance and security teams to ensure secure, stable and supportable systems. Application Review Date The First Review Date for this job is: 12/01/2025. Responsibilities Development, Unit Testing and Production SupportApplies advanced application programming concepts to designs, develop, modifies, debug and evaluate complex programs for a variety of functional areas.Develops and executes complex test plans. Participates and leads performance/load testing as needed.Develops code (PeopleCode, PeopleSoft Integrations, iHub Integrations, workflow) for new functionality, enhancements and bug fixes in PeopleSoft Campus Solutions/financial systems and/or for integration with the suite of student systems/financial systems.Ensures that System Development Life Cycle and change management procedures are followed and documented to support the change requests.Works directly with functional, design and testing experts to validate that requirements have been met.Logs and tracks vendor bugs. May lead or implement patches, upgrades or integrations with PeopleSoft and/or vendors supporting the suite of student systems/financial systems. Manages development in compliance with vendor support contracts.Provides second-level operational support, troubleshooting, and security vulnerability testing/remediation requiring rotating 24x7 support when necessary.Analysis, Design & Technical SpecificationsResponsible for providing analysis and documentation for complex existing PeopleSoft programs modules and integration with the suite of student systems.Works closely with Business Analysts, Designers and end users to understand functional requirements and use cases.Initiates, designs and uses complex relational databases for data analysis.Develops technical specifications, presents at design reviews and obtains approval for development plan. May lead design reviews.Security & StandardsInitiates and recommends changes in development, maintenance and system standards.Develops, implements and maintains standards for secure and performant coding.Understands industry practices and department policies and procedures relating to work assignments.Leadership & CommunicationInteracts with technical leads, senior level internal management, internal and external Developers, end users and Business Analysts.Keeps current with emerging technologies.Works independently and makes actionable recommendations to technical leads, managers, directors, and senior stakeholders based on his/her technical expertise.Effectively communicates (verbal and/or written) complex technical subject matter to a variety of audiences.Demonstrates values of excellence, innovation and integrity.Collaborates and mentors other technical, functional or support staff on complex technical issues to provide effective and maintainable solutions.Engages in continuous professional development and training. Required Qualifications Minimum of 8+ years of hands-on experience in PeopleSoft Application Development.Must have advanced skills in PeopleTools, Application Designer, PeopleCode, SQL, Application Engine, Component Interface, Application Packages, Integration broker, and Application Messaging.Requires thorough knowledge of applications programming function and best practices in customization approaches and standards.Requires advanced skills associated with programming design, modification and implementation.Ability to quickly identify, analyze and implement solutions to application issues.Requires interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization.Has skills needed to develop conversion and system implementation plans.Must be able to communicate technical information in a clear and concise manner.Requires ability to understand business needs and how business systems can support those needs.Requires deep understanding of the delivered vanilla functionality of the Campus Solutions and/or Financial - Supply Chain applications.Must be self-motivated, ability to work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills.Ability to effectively prioritize tasks and deliverables when faced with competing priorities, while maintaining quality and meeting deadlines.Welcomes differing skills, outlooks, and experiences of others working toward shared goals.Demonstrated ability to work effectively and collaborate with individuals and groups from a wide range of backgrounds, experiences, and perspectives.Bachelor's degree in related area and/or equivalent experience/training.Preferred Qualifications Deep Understanding of Financial Aid Module in PeopleSoft Campus Solutions.Experience in Peoplesoft Fluid Development.Experience in Java, CSS, HTML and Java Script.Experience with version control tools such as Phire, Stat, and CAPI, and processes to manage code changes and object migrations across environments.Salary & Benefits For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website. Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience. The budgeted annual salary range that the University reasonably expects to pay for this position is $101,600.00 - $145,700.00. This is an exempt monthly-paid position. How to ApplyTo apply, please submit your resume and cover letter.Other InformationThis is not a visa opportunity.Flexible work arrangements, including telecommuting . click apply for full job details

Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).