98 jobs found

What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The Honda Development and Manufacturing Production Engineering team is responsible for the operational technology security of the manufacturing environment. The OT Security Site Lead works across multiple technical and business areas to facilitate implementation of the regional OT security initiatives and provide on site support for core security functions of asset management, vulnerability remediation, and equipment backup and recovery as well as support for incident management. The role is the primary collaborator with IT/business users to ensure secure operation at the site. Key Accountabilities Site representative - lead interface with site members to facilitate execution of regional OT security initiatives including leading communication mtgs, providing technical support, providing training, and managing project activity. Asset management - achieve/maintain equipment asset visibility targets for the site through the vulnerability and intrusion detection systems (IDS). Vulnerability remediation - lead annual remediation plans for the site and support investigation and resolution of alerts from the IDS system. Equipment backup/recovery - achieve/maintain equipment backup targets for the site, provide technical support for resolving issues, and lead incident response coordination with site members. Regional support - contribute as a subject matter expert in developing OT security tools, systems, and processes across the prevention, vulnerability mgmt., and incident response/recovery workstreams. Qualifications, Experience, and Skills Bachelor's Degree in Cybersecurity, Networking, Electrical or Computer Engineering, or Computer Science. 2+ years of experience with machine control networks / industrial control systems (ICS); basic understanding of communication networks, cybersecurity fundamentals. Knowledge of industrial cybersecurity. Strong verbal and written skills to communicate effectively both with customers and internal project teams. Business acumen in a technical environment. Working Conditions Flexible Work Hours. Flexible Work Schedule Estimate 2-4 Business trips per year may be required to support regional initiatives and improve overall efforts to improve standardization across the region. This activity may require short-term assignments at other Honda sites for 1-to-2-week periods. 0-5 hours of OT per week Weekend and holiday work may be required. Please Note: Sponsorship for employment visa status for these positions is unavailable. Applicants requiring sponsorship for employment visa status now or in the future (e.g., F-1 CPT/OPT, H-1B, TN, etc.) will not be considered. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities into the AI Threat Detection domain by developing detections for emerging threats targeting AI models and generative AI applications. - Collaborate with applied scientists and security researchers to transform research outcomes-such as anomaly detection methods and large language model (LLM)-based approaches-into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Knowledge of data structures, algorithm design, statistics, and system design - Experience with AWS, Azure, or Google Cloud technology - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience designing, building, operating, and managing large-scale distributed systems or web services - Experience with security and systems that handle sensitive data - Experience in ML and MLOps in production - Experience in AI threat detection Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MA, Boston - 168 400.00 USD annually

Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Principal AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, product, data, and technology leaders to define the architectural foundation for AI across Weyerhaeuser. Working at the intersection of strategy and engineering, you will establish reference architectures, design patterns, and technical standards that enable teams to rapidly build secure, scalable, and reusable AI capabilities. Your work will shape how AI is integrated into business workflows, enterprise platforms, and operational systems accelerating innovation while ensuring solutions remain governable, resilient, and aligned with enterprise standards. You'll evaluate and guide the adoption of modern AI technologies including large language models, intelligent agents, cloud AI services, enterprise data platforms, and emerging interoperability standards while selecting the right technologies for the problem rather than building around any single vendor or framework. Key Responsibilities Enterprise AI Architecture - Define and evolve Weyerhaeuser's enterprise AI architecture, reference architectures, and technical standards. Establish scalable, secure, and reusable architectural patterns that enable AI to become a core enterprise capability while ensuring interoperability, governance, and long-term maintainability. AI Platform Strategy - Define the architectural foundation for enterprise AI platforms supporting machine learning, generative AI, intelligent agents, and optimization. Guide technology strategy, platform evolution, and the adoption of emerging AI capabilities while balancing innovation, operational maturity, and business value. Technical Leadership - Provide technical leadership across the enterprise through architecture reviews, mentoring, engineering standards, and reusable design patterns. Establish engineering standards, reusable design patterns, architecture reviews, and technical guidance across the engineering teams for AI solutions. Enterprise Collaboration - Partner with business, product, engineering, data, cybersecurity, and enterprise architecture teams to translate strategic business opportunities into technical solutions. Drive alignment across organizations to ensure AI capabilities integrate seamlessly into enterprise platforms and business workflows. Responsible AI & Operational Excellence - Embed Responsible AI principles throughout the AI lifecycle by defining architectures that emphasize security, governance, transparency, observability, performance, reliability, and cost efficiency. Ensure AI solutions are designed for enterprise-scale operations and deliver measurable business outcomes. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical discipline. Master's degree or PhD preferred. 10+ years of experience designing and delivering technology solutions on edge, cloud, and data platforms. Demonstrated success defining architecture for complex, distributed systems operating at enterprise scale. Deep understanding of modern AI technologies, including machine learning, generative AI, and intelligent agent architectures with one or more major enterprise AI ecosystems such as Microsoft Azure AI, AWS, Google Cloud, OpenAI, Anthropic, Snowflake, Databricks, SAP, or comparable platforms. Experience designing reusable patterns, shared services, developer frameworks, and engineering accelerators that improve enterprise AI delivery. Experience applying AI across one or more domains (the more the better): manufacturing/industrial, commercial (sales, supply chain, logistics), corporate functions (IT, HR, Finance, Legal, Procurement), or geospatial/GIS. Experience implementing AI governance, Responsible AI practices, model lifecycle management, evaluation frameworks, observability, or MLOps. Experience influencing technical direction across the enterprise through technical leadership rather than direct authority. Excellent communication skills with the ability to engage executive, business, and technical audiences. Why Join Weyerhaeuser? At Weyerhaeuser, you'll have the opportunity to shape the future of sustainable forestry through AI-driven innovation. As Senior AI Architect, you will define how advanced AI - from predictive analytics to generative and edge intelligence - is designed, built, and deployed to enhance operations, sustainability, and growth. Your work will transform how forests are managed, mills operate, and teams collaborate - advancing Weyerhaeuser's mission to be the world's premier timber, land, and forest products company. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.

Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting-edge infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads This role is for a senior software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g, PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for variety of ML model families including massive scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will leverage your technical communications skill to partner with other teams and will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. Experience in object-oriented languages like C++/Java is a must, experience with compilers or building ML models using ML frameworks on accelerators (e.g., GPUs) is preferred but not required. Experience with technologies like OpenXLA, StableHLO, MLIR will be added bonus! Explore the product and our history! AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Key job responsibilities You will design, implement, test, deploy and maintain innovative software solutions to transform Neuron compiler's performance, stability and user-interface. You will work side by side with chip architects, runtime/OS engineers, scientists and ML Apps teams to seamlessly deploy cutting edge ML models from our customers on AWS accelerators with optimal cost/performance benefits. You will have opportunity to become front-face of Neuron Compiler to work with open-source communities (e.g., StableHLO, OpenXLA, MLIR) and influence industry wide partners to pioneer optimizing cutting-edge ML workloads on AWS software and hardware. You will also work on building innovative features that will deliver best possible experiences for our customers - developers across the globe. A day in the life As you design and code solutions to help our team drive efficiencies in compiler architecture, you'll create compiler optimization and verification passes, build features surface features and peculiarities of AWS accelerators to developers, implement tools to analyze numerical errors, and resolve the root cause of compiler defects. You'll also participate in design discussions, code review, and communicate with internal (other Neuron SDK and Amazon wide teams) and external stakeholders (open-source communities and respond to Neuron compiler related questions in open forums, e.g. GitHub). Lastly, work in a startup-like development environment, where you're always working on the most important stuff. About the team About the Team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 2+ years of experience in developing compiler features and optimizations - Proficiency with 1 or more of the following programming languages: C++ (preferred), C, Python PREFERRED QUALIFICATIONS - Master or PhD degree in computer science or equivalent - Proficiency with resource management, scheduling, code generation, and compute graph optimization - Experience optimizing Tensorflow, PyTorch or JAX deep learning models - Experience with multiple toolchains and Instruction Set Architectures Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 193 500.00 USD annually

Job Title Business Development Director Location Herndon, VA 20170 US (Primary) Category Sales Job Type Full-time Career Level Experienced (Non-Manager) Education Bachelor's Degree Travel Up to 25% Security Clearance Required Ability to obtain and maintain a U.S. Security Clearance Job Description Founded in 1990, award winning AFG Group, Inc. provides a full range of program, project, and construction management services to our clients - from project planning, definition, design, and construction, through commissioning, relocation, and move-in. Recognized as an ENR Top 100 CM Firm, AFG's portfolio includes the Department of Defense (DoD), General Services Administration (GSA), National Institutes of Health (NIH), Department of Veterans Affairs (VA), and various state/local agencies served through AFG's nationwide offices and locations. Business Development Director AFG is seeking an experienced, collaborative, and strategically focused Business Development Director across major design and construction programs for Federal & Public Agencies, Healthcare & Laboratories, Transportation, Courts & Criminal Justice, and Education markets. The successful candidate will have proven experience targeting and cultivating strategic business relationships, exceeding assigned objectives, and developing and executing 5-year growth plans. This role requires the strategic and tactical development of opportunity pipelines, contract vehicles, revenue development plans, and support of and coordination with a seller-doer network of senior program and project managers. Location and Reporting: While this is a remote position personnel should be located within the Virginia, Maryland, or Washington, DC metropolitan area Position reports directly to the Senior Vice President-National Sales and Growth Position collaborates with embedded operational BD technical staff (doers/sellers) in each division/office (doers/sellers) for expansion of existing client markets Position leads BD efforts for capturing new clients and contracts. Local and long-distance travel throughout the Eastern United States will be required as necessary to meet assigned objectives. This includes areas generally considered outside of the Eastern Region if client headquarters are located elsewhere. Duties: Develop 5-year and Annual Growth plans for each office and division within AFG, concentrating on opportunities located within the Eastern Region of the U.S. Function as client facing business development lead to promote company, cultivate relationships, analyzes existing and anticipated client needs in partnership with operational staff. Expand business with current clients, and seek, create, and win new opportunities. Strategize on win themes to align with customers' critical needs. Develop an opportunity pursuit plan and lead tactical planning sessions with core support team Convert Strategic growth initiatives into tactical pursuit action plans that prepare and preposition the Company for the win. Uncover actionable intelligence that enables the company to pre-position as a trusted advisor and subject matter expert with opportunity stakeholders and decision makers. Plan and participate in Business Development (BD) activities, to include opportunity gate reviews, black hat sessions, collaboration and workshop sessions, and proposal reviews Lead competitive assessments, teaming, and price-to-win efforts Develop white papers, RFI responses, and proposals as assigned Conduct proposal Pink, Red and White Team assessments for their prospects Brief Business Development status to senior management Conduct postmortem reviews on losses to document lessons learned and identify necessary adjustments to capture technique, strategy, and actions Mentor Project and Program Directors in business development, pursuit, capture strategies and tactical plan development. Cooperate with and lead matrixed teams in a virtual environment to achieve growth goals Job Requirements Exemplify company values and culture, being a team player and conducting oneself with high professional ethics Ability to operate office equipment such as personal computer, printer, copy machine, telephone, fax machine, desk supplies and other work related tools Ability to use computer programs (Deltek Vision, etc.), virtual meeting applications, social media sites like LinkedIn, MS Office suite including PowerPoint, Outlook, etc. Have clear, concise, and accurate professional communications skills, both verbal and written. Ability to lead and cooperate with teams of varying disciplines and levels of experience. Apply capture planning processes and best practices consistently. Minimum Qualifications Bachelor's Degree with at least 10 years' business development within the AEC industry Professional certifications such as Registered Architect (RA), Certified Construction Manager (CCM), Professional Engineer (PE) preferred 5 years' working on Federal Sector business development programs, A proven examples of successful capture management, Ability to obtain Security Clearance required; Active Secret clearance is preferred, Technical writing and proposal development experience Strong verbal communication skills and prior experience briefing executives Physical and Environmental Demands Constantly Communicating with others to exchange information, Constantly Assessing the accuracy, neatness and thoroughness of the work assigned, Occasionally moving self in different positions to accomplish tasks in various environments, Occasionally remaining in a stationary position, often standing, or sitting for prolonged periods, Occasionally moving about to accomplish tasks or moving from one location to another, Occasionally adjusting or moving objects up to 20 pounds in all directions Rarely Low temperatures Rarely High temperatures Rarely Outdoor elements such as precipitation and wind Rarely Noisy environments Benefits As an employee, you could be eligible for: Competitive Industry Pay Paid Time Off and Holidays Flex Time Bonus plans Professional Learning and Membership Incentives Health, Dental, and Vision Plans 100% Company-Paid Disability & Group Life Flexible Spending Accounts 401K with Employer Match New Parent Leave Relocation Assistance Pre-tax Commuter Benefits Qualified applicants at AFG Group, Inc. must be U.S. citizens or lawful permanent residents and must meet client security requirements. Positions requiring security clearance are open to U.S. citizens only. AFG Group, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin. Salary Range 120-140k We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law.

This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Engineering, or a related field - 5+ years of work with software development lifecycle from conception to delivery experience - Experience in designing, planning and implementing applications and/or database migrations to the cloud - 5+ years of external or internal customer facing, complex and large scale project management experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS - Experience presenting technical solutions to diverse audiences in pre-sales environments - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Database experience (e.g. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Experience with AWS data/file transfer solutions including AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), and/or AWS DataSync Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MO, St. Louis - 153 800.00 USD annually

Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities into the AI Threat Detection domain by developing detections for emerging threats targeting AI models and generative AI applications. - Collaborate with applied scientists and security researchers to transform research outcomes-such as anomaly detection methods and large language model (LLM)-based approaches-into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Knowledge of data structures, algorithm design, statistics, and system design - Experience with AWS, Azure, or Google Cloud technology - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience designing, building, operating, and managing large-scale distributed systems or web services - Experience with security and systems that handle sensitive data - Experience in ML and MLOps in production - Experience in AI threat detection Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MA, Boston - 168 400.00 USD annually

Summary Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information. The primary purpose of this position is to serve as a Senior Air Force (AF) Operations Research Analyst and to provide expertise in initiating, applying, and planning major developmental studies, and providing expert guidance and advice to Air Force headquarters staff, major command (MAJCOM) activities, and/or other agencies. Learn more about this agency Duties Help Employs scientific and analytical techniques to define, quantify, and evaluate the feasibility of assigned projects, studies or problems. Reviews and evaluates study projects, proposals, and/or reports for adequacy of methodology, including the use or development of computerized models, ensuring the techniques used are valid and appropriate to the problem or issue identified. Serves as a consultant and Air Force level technical expert to senior subject matter specialists and/or agency officials responsible for broad program operations. Attends meetings, conferences, briefings, and seminars related to program planning, advanced technologies, and support system concepts. Requirements Help Conditions of employment U.S. Citizenship is required. Males must be registered for Selective Service, see Legal and Regulatory Guidance. If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: This position is subject to provisions of the DoD Priority Placement Program. For more information on Acq Demo please go to DoD AcqDemo Homepage and Fact Sheet Relocation costs or other incentives may be available and considered by the organization. Position may require an appropriate security clearance. Selectee is expected to be granted with and/or maintain the appropriate security clearance required for the position. Employee must maintain current certifications This position may require drug testing and the candidate may be subject to passing a drug test upon selection. Position may be subject to random drug testing. Employee may be required to work other than normal duty hours, to include evenings, weekends and/or holidays Shift work and emergency overtime may be required Disclosure of Political Appointments All federal employees are required to have direct deposit. This announcement may result in a 120-day register that may be used to fill like vacancies for 120 days after the closing date. Applicants may be referred for consideration as vacancies occur. Depending on the type of position (competitive/excepted) you are selected for, you will be required to serve a 1-year probationary period OR 2-year trial period. Upon completion of your probationary/trial period, your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest. This position may require travel. Work may occasionally require travel away from the normal duty station on military or commercial aircraft. This is a Centrally Managed position under the Scientist and Engineer Career Field. This is an acquisition coded position. Selectee must complete required certification level 2 Practitioner in Engineering and Technical Management within 24 months of assignment. Qualifications Experience requirements are described in the Office of Personnel Management (OPM) Qualification Standards for General Schedule Positions, Professional and Scientific positions. BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: DEGREE: A degree in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus. NOTE: You must submit transcripts. EVALUATION OF EDUCATION: The primary requirement of operations research work is competence in the rigorous methods of scientific inquiry and analysis rather than in the subject matter of the problem. Therefore, applicants should have sufficient knowledge of applied mathematics to understand and use the fundamental concepts and techniques of operations research methods of analysis. In addition, some positions may require knowledge of a specific subject area. Courses acceptable for qualifying for operations research positions may have been taken in departments other than Operations Research, e.g., Engineering (usually Industrial Engineering), Science, Economics, Mathematics, Statistics, or Management Science. SPECIALIZED EXPERIENCE: Applicants must have at least 1 year (52 weeks) of specialized experience at the next lower broadband NH-03, equivalent to the next lower grade GS-13 or equivalent in other pay systems. Specialized experience is professional knowledge of a wide range of complex principles, concepts, and practices of operations research analysis to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures. Knowledge, skills, and ability in the application of operations research analysis, and related disciplines, to the identification, assessment and deployment of advance information technologies and new strategies in advancing and promoting analytics-aided decision making. Ability and experience in managing staff, multi-disciplinary technical teams, and resources, as well as in directing program development and execution to support both long-term strategic and near-term goals and objectives. Knowledge of mathematics and analysis to perform complete studies of limited scope or work as a team member on specific problems of a major study, and prepare reports, documentation, and correspondence to communicate recommendations/conclusions clearly. Knowledge of quantitative techniques and methods used to develop, adapt, modify, and apply models to resolve problems or define and clarify alternative solutions. NOTE: Due to the use of 120-day rosters, this period of experience may be completed within 120 days of the closing date of this announcement. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: Knowledge and mastery of a broad range of methods and techniques used in classical and modern advanced operations research studies and possession of analytical abilities. Knowledge of expert quantitative techniques and methods used to develop, adapt, modify, and apply models to resolve problems or define and clarify alternative solutions. Ability to participate in study teams; originate new ideas, projects, and methodologies; and execute projects and/or studies within established financial and/or time constraints. Ability to recognize and use correct English grammar, punctuation, and spelling; communicate information in writing in a succinct and organized manner; and produce written information, including technical material, which is appropriate for the intended audience. Ability to develop and utilize appropriate data collection techniques. Ability to design, build, and use models and simulation techniques. IDEAL CANDIDATE: The ideal candidate holds a master's degree or higher in Operations Research or a related field, such as statistics, mathematics, or industrial engineering. Has demonstrated supervisory, team-lead, or study-lead experience and can lead digital teams, assess performance, and deliver projects within established schedule and resource constraints. Has experience applying rigorous scientific and analytical methods to define, evaluate, and resolve tactical-to-strategic problems, including validating study methodologies, proposals, reports, and computerized models. The candidate has experience communicating complex technical information clearly and concisely to senior leaders with varied technical backgrounds. Remains current on operations research, data science, and Department of the Air Force analytic capabilities, including data platforms, visualization tools, artificial intelligence, robotic process automation, metadata tagging, and data cataloging. Has a understanding of data security, governance, and stewardship principles and can transform acquisition data into actionable information that supports AI-enabled analysis, visualization, informed decision-making, and process efficiencies. Candidate has developed and managed digital strategies, infrastructure, and tools-including AI agents, machine-learning capabilities, dashboards, and automated workflows-and has led adoption through technology scanning, training, briefings, and change management. Has advised leadership, assessed the maturity and applicability of digital resources, analyzed contract data, and maintained accessible, transparent data tools for the acquisition workforce. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. . click apply for full job details

Job Description Job Description Position Summary Centre Technologies is seeking an experienced Technical Lead to serve as the senior technical resource within our client-facing service delivery teams. As a Technical Lead, you will work closely with Service Delivery Managers, vCIOs, and technical consultants to resolve complex technical issues, provide strategic guidance, improve customer environments, and elevate the technical capabilities of the team. You will act as the technical expert for a portfolio of customers, developing a deep understanding of their environments and helping drive technology decisions that improve reliability, security, performance, and business outcomes. This role is ideal for a highly skilled engineer who enjoys solving complex technical challenges while influencing customer strategy and mentoring other technical professionals. Essential Duties and Responsibilities Technical Escalation Leadership Serve as the highest-level technical escalation resource within assigned Client Services Team. Troubleshoot and resolve complex infrastructure, cloud, networking, endpoint, and security issues. Lead root cause analysis efforts for recurring or high-impact incidents. Provide technical leadership during critical outages and service interruptions. Communicate clearly and effectively with customers, internal stakeholders, and other service delivery teams throughout technical escalations. Maintain ownership of escalated issues through resolution. Customer Environment Ownership Develop and maintain deep technical knowledge of assigned customer environments. Review ticket trends, recurring incidents, and operational risks to identify improvement opportunities. Perform proactive assessments focused on security, stability, scalability, and operational maturity. Ensure customer environments align with Centre standards and best practices. Drive continuous improvement initiatives that reduce support volume and improve customer outcomes. Strategic Technology Guidance Partner with vCIOs and Service Delivery Managers to provide technical insight during customer planning discussions. Assist in the development of customer technology roadmaps and strategic recommendations. Evaluate technical risks and assist in prioritizing remediation efforts. Identify opportunities for modernization, automation, and operational improvement. Provide technical consultation regarding cloud, security, infrastructure, and Microsoft technology investments. Team Development & Technical Influence Mentor Tier 1 and Tier 2 consultants through technical coaching and guidance. Assist with technical training and knowledge-sharing initiatives. Review troubleshooting approaches and assist team members with challenging technical issues. Promote technical excellence, accountability, and continuous learning. Serve as a trusted technical resource for peers across the organization. Operational Excellence Maintain accurate and thorough technical documentation. Contribute to process improvements and service delivery initiatives. Support change management and implementation planning. Participate in escalation and after-hours support requests as required. Required Experience 6+ years of progressive IT infrastructure or managed services experience. Experience supporting multiple customer environments simultaneously. Advanced troubleshooting experience across Microsoft, cloud, networking, and security platforms. Strong customer-facing communication skills. Proven ability to explain technical concepts to non-technical audiences. Experience providing technical leadership without direct management responsibilities. Technical Expertise Microsoft Technologies: Microsoft 365, Entra ID, Intune, Exchange Online, SharePoint Online, Teams, Active Directory, Group Policy, Windows Server. Cloud & Virtualization: Microsoft Azure, Azure Virtual Machines & Virtual Desktops, Storage & Networking, Identity Management, VMware vSphere, Hyper-V. Networking: TCP/IP, DNS, DHCP, VPN technologies, VLANs, routing and switching, wireless networking, firewall administration. Security: Multi-Factor Authentication, Conditional Access, Endpoint Protection, Vulnerability Management, Identity Security, Incident Response, security best practices. Backup & Recovery: Backup administration, disaster recovery planning, business continuity solutions, restore testing and validation. Powered by JazzHR O6u6SCI3Pp

Job Description Job Description Description: AI/ML Technical Lead CASCOM ESD Enterprise Analytics/AI Program Schedule: Full-Time / 1.0 FTE Work Arrangement: Primarily Remote with Required Travel to Fort Lee, VA Clearance: Active Final Secret Required The Opportunity We're looking for an AI/ML Technical Lead who still builds. This position requires hands-on technical leadership across AI/ML solutions using CASCOM, GCSS-Army, SAP, and other Army data. The successful candidate must be capable of personally coding, evaluating, deploying, and sustaining models-not simply directing an AI strategy or managing data science teams. Potential use cases include GenAI/OpenAI, RAG, Copilot, document extraction, anomaly detection, equipment-readiness and maintenance forecasting, fleet automation, recommendation capabilities, and supply forecasting. What You'll Do Lead selection and technical refinement of three baseline AI/ML use cases. Define mission questions, data requirements, technical baselines, performance metrics, and acceptance criteria. Perform hands-on data exploration and feature engineering. Develop, train, validate, and comparatively evaluate machine-learning models. Conduct error analysis and document model limitations. Develop selected GenAI, RAG, forecasting, anomaly-detection, or recommendation capabilities. Work with GCSS-Army SMEs to validate business rules and interpret model results. Partner with Azure Data/MLOps engineering resources to package, deploy, version, monitor, and sustain models. Establish appropriate human-review processes for model outputs affecting operational decisions. Develop model cards, evaluation results, release documentation, known limitations, and retraining criteria. Integrate analytical outputs into dashboards, Power Apps, APIs, or other operational solutions. Participate in demonstrations and production-readiness reviews. .Requirements: Must-Have Qualifications Active final Secret clearance. 7+ years of data science, machine learning, advanced analytics, or applied AI experience. 4+ years developing machine-learning solutions. Hands-on production AI/ML development experience. Strong Python and SQL skills. Experience delivering at least three substantive models or AI capabilities. At least one model personally taken from requirements through production or operational deployment. Experience with Azure AI/ML services or a comparable cloud environment. Ability to explain model evaluation, deployment, monitoring, and retraining. Strong experience with pandas, NumPy, scikit-learn, and at least one major ML/deep-learning framework. Experience with at least two of the following: Forecasting Anomaly detection Classification Recommendation engines Optimization Document extraction NLP, RAG, or GenAI Experience establishing measurable model-performance criteria. Experience with feature engineering, training, validation/test data, error analysis, explainability, and model documentation. Bachelor's degree in computer science, data science, statistics, mathematics, operations research, engineering, or related discipline, or equivalent specialized experience. Strongly Preferred Azure Machine Learning, Azure OpenAI, Azure AI Search, Microsoft Copilot, or comparable Azure AI services. Defense logistics, maintenance, readiness, fleet, supply-chain, acquisition, property, or financial analytics. GCSS-Army, SAP ECC, ERP, or maintenance-system data. Government-cloud or classified deployment experience. Model monitoring, drift detection, bias testing, red teaming, or human-in-the-loop validation. Integration of model outputs with Power BI, Power Apps, APIs, or operational applications. Experience presenting technical findings to operational users and senior leadership. About Xtreme Solutions XSI is a leading provider of information technology and professional services known for outstanding service delivery in a wide range of professional services engagements around the country. Team XSI continually meets and exceeds customer expectations. We are passionate about our work and making a difference. Our vision is to be the best professional services management company for both our customers and our employees. We need employees that share this vision. Our remarkable employees are the key to our company's incredible success. XSI promotes a work environment of trust, integrity, respect, continual improvement, customer satisfaction, and business success. We strive to provide a competitive salary and benefits, an engaging and rewarding work environment, and training and development opportunities. Equal Employment Opportunity Xtreme Solutions, Inc. is an Equal Opportunity Employer and federal contractor. All qualified applicants will receive consideration for employment without discrimination based on any status protected by applicable federal, state, or local law.As a federal contractor, Xtreme Solutions, Inc. takes affirmative action to employ and advance in employment qualified individuals with disabilities and protected veterans. We are committed to providing equal employment opportunities throughout all aspects of employment, including recruitment, hiring, promotion, compensation, training, and other terms and conditions of employment. Equal Opportunity Employer Individuals with Disabilities Protected Veterans

Job Title: Senior Business Analyst - Utilities FSM / ERP Implementations (Multiple positions available) Company: Celerity Consulting Group Location: Remote (work from home eligible) with the ability to travel for client meetings and workshops Salary: $100,000 - $120,000 annually DOE Company Overview: Celerity is a consulting firm specializing in the utilities and energy sectors. We empower organizations by converting complex data into actionable intelligence to mitigate risk, optimize assets, and maximize project outcomes. Our background and expertise enable us to drive and deliver transformation and operational excellence for our clients. Our background and expertise also enable us to implement enterprise systems & solutions, driving digital transformation and operational excellence for our clients. Position Overview: We are seeking a Senior Business Analyst with over 8 years of experience in implementing projects for enterprise systems (ERPs, CRMs, FSM, etc.) and a strong background in the utilities/energy/telecom industries. The ideal candidate will play a pivotal role in analyzing client business processes, identifying requirements, and implementing solutions to enhance operational efficiency. Key Responsibilities: Requirements Gathering and Analysis: Engage with clients to understand and document their business processes, needs, and objectives related to field service operations. Analyze and translate business requirements into functional specifications for enterprise solutions. Conduct gap analyses to identify areas where current systems fall short of client needs. Solution Design and Implementation: Collaborate with technical teams to design solutions that align with client requirements and industry best practices. Assist in configuring and customizing tools to meet specific client needs. Develop and execute test plans to ensure solutions meet specified requirements and quality standards. Stakeholder Communication and Management: Serve as a liaison between clients, project managers, and technical teams to ensure clear communication and alignment throughout the project lifecycle. Facilitate workshops and meetings to gather requirements, present solutions, and obtain stakeholder buy-in. Prepare and deliver presentations and reports to clients and internal stakeholders. Process Improvement and Optimization: Identify opportunities to enhance client business processes through the effective use of FSM solutions. Recommend best practices and innovative solutions to improve field service operations and efficiency. Monitor solution performance and suggest enhancements based on data analysis and client feedback. Testing Hands on experience writing detailed user stories, test cases and executing tests. Should have an eye for details and be familiar with arduous test cases. Experience logging, tracking, prioritizing and validating defects. Experience guiding new users through individual and collaborative UAT sessions. Should be familiar with navigating difficult conversations with users when bugs are uncovered or business needs are deprioritized for the scope of the project. Training and Support: Develop training materials and conduct training sessions for clients to ensure successful adoption of enterprise solutions. Provide ongoing support to clients' post-implementation to address issues and optimize solution usage Educational Qualifications: Bachelor's degree in Business Administration, Information Technology, Engineering, or a related field required. Advanced degree (MBA or Master's) is preferred. Required Skills and Experience: Minimum of 7 years of experience as a Business Analyst, with a focus on Enterprise Field Service Management and mobile workforce solutions. Demonstrated experience in requirements gathering, process analysis, and solution implementation. Hands-on experience with SQL to access, retrieve, manipulate, and analyze data. Hands-on experience with Jira, Confluence, MS SharePoint, Process design tools (Vizio, Signavio, etc.) and similar PMO tools. Strong understanding of utility operations, asset management, and field service management (REQUIRED) Excellent analytical and problem-solving skills, with the ability to think critically and propose effective solutions. Exceptional communication and interpersonal skills, with the ability to engage effectively with clients and stakeholders at all levels. Strong project management skills, with the ability to manage multiple priorities and meet deadlines. Familiarity with business integration requirements across technology stack (ERP, CRM, CIS, BI, Datawarehouse, etc.) Ability to travel to client sites (domestic and(or) international) as required and defined per project requirements. Preferred Skills: Consulting background with experience in client-facing roles and managing stakeholder relationships. Proficiency in using FSM software platforms a plus. Familiarity with GIS integration and mobile workforce management solutions. Knowledge of emerging technologies such as IoT, AI, and Machine Learning as they apply to Field Service Management. Professional certifications related to Business Analysis (e.g., CBAP) or Project Management (e.g., PMP). The salary range for this position is provided in good faith and is subject to variation based on geographic location, candidate experience, and market conditions. Final compensation will be determined after a comprehensive evaluation of the candidate's qualifications and alignment with the role. In accordance with applicable pay transparency laws-including but not limited to those in California, Colorado, New York, Washington, and other jurisdictions-we disclose salary ranges to promote equity and transparency. Where required by law, compensation and benefits information will be included in job postings or made available upon request. This job description outlines the primary responsibilities and standards of the position but is not exhaustive. Employees may be asked to perform additional duties that are reasonably related to their role and consistent with company policies and applicable labor laws. Employee welfare and development is important to us, and we sponsor many activities outside of work to promote team building as well as sponsor formal training and certification. We are proud to offer a comprehensive health and welfare benefit package that includes: HEALTH & WELL-BEING Medical Insurance Dental Insurance Vision Insurance PEACE OF MIND Disability Insurance (STD/LTD) Flexible Spending Account Health Savings Account Basic Life/AD&D 401(k) plan WORK/LIFE BALANCE Paid Time Off Company Holidays Leave of Absence Remote work and Flexible Work Schedules (for qualified positions) ADDITIONAL PERKS Employee Referral Program Professional Development Charitable Contribution Match Based in Walnut Creek, CA with offices nationwide, Celerity energy engineers perform a critical, leadership role as strategic liaisons between data, assets and the teams that make projects happen in the field. See full details and meet our leadership team on our website: Celerity is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veterans' status or other status protected by applicable law. Pursuant to the Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position is open to individuals who are currently authorized to work in the United States on a full-time basis. Unfortunately, we are unable to sponsor or assume sponsorship of employment visas at this time. Powered by JazzHR Compensation details: 00 Yearly Salary PIbcf84d5-

Lead Sensor Data Extraction: Perform extraction, transformation, and loading (ETL) of data from prototype sensors. Collaborate with engineering teams to ensure robust integration pipelines for seamless flow of sensor data into analytical systems. Direct hands-on work with live sensor hardware to troubleshoot and optimize data extraction. Data Quality Assurance: Develop and maintain processes for ensuring the accuracy, completeness, and integrity of sensor data, including real-time monitoring and anomaly detection. Consumer Studies: Design, lead, and analyze consumer studies and human subject data-gathering initiatives, ensuring ethical, privacy-compliant, and scientifically rigorous practices to support machine learning model training. Data Operations for ML Models: Lead data preprocessing, labeling, and structuring for the development of machine learning algorithms. Hardware Feedback & Optimization: Analyze sensor data to diagnose, report, and recommend improvements to hardware teams. Drive iterative optimization of sensor performance, calibration, and system reliability. Cross-Functional Collaboration: Work closely with engineering, product, and research teams to refine data collection approaches, deliver actionable insights, and influence the direction of sensor and AI product development. Process Innovation & Continuous Improvement: Champion continuous improvement in data extraction methods, automation, system performance, and data collection for ML, leveraging new technologies and industry trends. Minimum Requirements: Masters degree in Data Science, Computer Science, Electrical Engineering, or closely related field, or foreign degree equivalent, plus 2 years of experience in sensor-based data analysis, data pipeline development, and applied data science in research or hardware-integrated environments. The experience (which may be gained concurrently) must also include experience in each of the following: 2 years of experience using Python or similar high-level programming language for data extraction, analysis, and scripting; 2 years of hands-on experience in sensor data extraction and hardware integration, including working directly with physical sensor systems to collect, validate, and preprocess real-world data; 2 years of experience with data validation, data quality assurance, or anomaly detection; 2 years of experience using data visualization or monitoring tools, such as python or tableau; 1 year of experience designing or running human data collection studies or experiments; 1 year of experience collaborating with cross-functional teams; and 1 year of experience in mentoring or team leadership. Telecommuting allowed. 20% of time traveling domestically. Send resume and letter of application detailing experience to: Max Newlon, Chief Operating Officer, (email removed), Alterego AI, Inc.

Starbucks is seeking a Senior Manager, Data Science to lead advanced analytics that elevates customer experience and store performance across our global coffeehouse network. You will build and guide a high-performing data science team, driving projects in forecasting, personalization, pricing, and store operations optimization. Partnering with product, marketing, and operations, you'll translate complex data into clear, actionable insights. You will champion experimentation, ethical data use, and scalable ML solutions, while fostering an inclusive, collaborative culture aligned with Starbucks' mission, sustainability goals, and community impact. Responsibilities Lead and mentor a data science team delivering high-impact analytics and ML solutions. Design and implement models for forecasting, personalization, and operational optimization. Collaborate with marketing, product, finance, and operations to define data-driven strategies. Translate complex analyses into clear insights and recommendations for senior leadership. Establish best practices for experimentation, model governance, and ethical data use. Oversee data pipelines and model deployment in partnership with engineering and IT. Monitor and improve model performance, scalability, and reliability in production. Promote an inclusive, collaborative culture aligned with Starbucks' mission and values. Identify new data sources and methods to enhance customer and store insights. Communicate results and ROI through compelling visualizations and storytelling. Required Skills Python RSQLMachine learning Statistical modeling Predictive analytics A/B testing and experimentation Data visualization (Tableau/Power BI) Cloud platforms (AWS/Azure/GCP) Big data tools (Spark/Hadoop)

Starbucks is seeking a Senior Data Scientist to lead advanced analytics that power decisions across our global coffee and food operations. In this role, you will build and deploy machine learning models to optimize store performance, menu mix, loyalty engagement, and supply chain efficiency. You'll partner with business, marketing, and operations leaders to translate complex data into clear, actionable insights. Using large datasets from retail, mobile, and loyalty channels, you will design experiments, forecast demand, and measure impact. You'll mentor junior data scientists and help shape Starbucks' data science best practices in a collaborative, values-driven environment. Responsibilities Design, build, and deploy machine learning and statistical models for retail, loyalty, and supply chain use cases. Analyze large, complex datasets to generate clear, actionable insights for business stakeholders. Partner with operations, marketing, and product teams to define problems, scope analytics work, and measure impact. Lead A/B tests and other experiments to evaluate new initiatives and optimize customer and store performance. Develop dashboards and data visualizations that communicate trends and recommendations to non-technical audiences. Mentor and guide junior data scientists, sharing best practices in modeling, coding, and experimentation. Contribute to data science standards, tools, and workflows to improve model reliability and scalability. Collaborate with data engineering teams to ensure high-quality data pipelines and model deployment processes. Required Skills Python SQLMachine learning Statistical modeling A/B testing and experimentation Data visualization (e.g., Tableau, Power BI) Big data tools (e.g., Spark, Hadoop) Time series forecasting Cloud platforms (e.g., AWS, GCP, Azure) Feature engineering

Starbucks is hiring a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee business. In this role, you will lead advanced analytics and machine learning projects to optimize store operations, personalization, supply chain, and customer experience. Partner with cross-functional teams to translate business questions into data solutions, build production-ready models, and develop dashboards and experimentation frameworks. You will mentor junior data scientists, champion data quality and governance, and help shape Starbucks' data & analytics strategy with a focus on ethical, responsible AI and measurable business impact. Responsibilities Lead end-to-end design, development, and deployment of machine learning and advanced analytics solutions. Partner with business stakeholders to translate problems into data science projects with clear success metrics. Analyze large, complex datasets to generate insights that improve operations, personalization, and supply chain efficiency. Develop dashboards, reports, and data products that enable self-service analytics for business partners. Design and evaluate experiments (e.g., A/B tests) to measure impact of new initiatives. Mentor and guide junior data scientists and analysts, promoting best practices in modeling and coding. Ensure data quality, reproducibility, and governance across analytics workflows. Collaborate with data engineering teams to improve data pipelines, features, and model performance. Communicate complex analytical findings clearly to technical and non-technical audiences. Contribute to Starbucks' data & analytics strategy with a focus on ethical and responsible AI. Required Skills Python SQLMachine learning Statistical modeling Experiment design (A/B testing) Data visualization (Tableau/Power BI/Looker) Cloud data platforms (AWS/Azure/GCP) Feature engineering Big data tools (Spark/Hadoop) Model deployment/ML Ops

Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee business. In this role, you will lead advanced analytics and machine learning projects that optimize store operations, personalize customer experiences, and support ethical sourcing and sustainability initiatives. You will partner with cross-functional teams in marketing, supply chain, and operations to translate complex data into clear insights and scalable solutions. You will mentor junior data scientists, champion data quality and experimentation, and help shape Starbucks' long-term data and analytics strategy in a collaborative, values-driven environment. Responsibilities Lead design and delivery of advanced analytics and machine learning solutions to support customer, store, and supply chain decisions. Partner with marketing, operations, and supply chain to frame business problems and translate them into analytical projects. Develop, validate, and deploy predictive and prescriptive models, ensuring scalability and reliability in production. Design and analyze A/B tests and experiments to measure the impact of new initiatives and product changes. Build dashboards and visualizations that communicate complex insights to non-technical stakeholders. Mentor and coach junior data scientists and analysts, promoting best practices in modeling, coding, and documentation. Ensure data quality, governance, and responsible use of data, aligned with Starbucks' values and customer trust. Contribute to the data & analytics roadmap, evaluating new tools, methods, and technologies to improve capabilities. Required Skills Python RSQLMachine learning Statistical modeling Data visualization (e.g., Tableau, Power BI) Big data tools (e.g., Spark, Hadoop) A/B testing and experimentation Cloud platforms (e.g., AWS, GCP, Azure) Feature engineering

Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee and food business. In this role, you will build advanced predictive models and experiments to optimize store operations, personalize customer experiences, and support strategic initiatives. You will partner with marketing, supply chain, and store operations to translate data into clear recommendations, design and evaluate A/B tests, and develop dashboards and analytical tools. You will mentor junior data scientists, promote best practices in data science and MLOps, and help shape Starbucks' data and analytics roadmap. Responsibilities Develop and deploy machine learning models to support marketing, store operations, and supply chain decisions Design and analyze A/B tests and experiments to evaluate initiatives and product features Extract, clean, and transform large datasets using SQL and scripting languages Create dashboards and visualizations to communicate insights to non-technical stakeholders Partner with cross-functional teams to translate business questions into analytical solutions Mentor and guide junior data scientists and analysts on methods and best practices Collaborate with data engineering to productionize models and improve data pipelines Define and promote standards for model evaluation, monitoring, and documentation Contribute to the data and analytics strategy and roadmap for Starbucks Present findings and recommendations to senior leadership in clear, actionable terms Required Skills Python SQLMachine learning Statistical modeling A/B testing and experimentation Data visualization (e.g., Tableau, Power BI) Cloud platforms (e.g., AWS, GCP, Azure) Feature engineering Predictive analytics ML model deployment/MLOps

Starbucks is seeking a Senior Manager, Data Science to lead advanced analytics that power decisions across our global coffee and food business. In this role, you'll build and guide a high-performing data science team to optimize store operations, personalize customer experiences, and improve supply chain and pricing strategies. You will design and deploy machine learning models, collaborate with cross-functional partners, and translate complex insights into clear, actionable recommendations. You'll champion data best practices, mentor partners, and support Starbucks' commitments to ethical sourcing, sustainability, and an inclusive, values-driven culture. Responsibilities Lead and mentor a data science team, setting strategy, priorities, and best practices. Design, build, and deploy machine learning and statistical models to support key business decisions. Partner with operations, marketing, digital, and supply chain teams to define analytics use cases and deliver actionable insights. Translate complex analytical findings into clear recommendations for senior leadership. Establish standards for data quality, model governance, and experimentation across the organization. Develop experimentation frameworks (A/B tests) to measure impact of new initiatives. Collaborate with data engineering to ensure robust data pipelines and scalable model deployment. Monitor model performance and refine solutions based on business outcomes and new data. Influence long-term data and analytics roadmap in alignment with Starbucks' mission and values. Foster an inclusive, learning-focused culture within the data science team. Required Skills Machine learning Statistical modeling Python RSQLData visualization (e.g., Tableau, Power BI) Big data platforms (e.g., Spark, Hadoop) A/B testing and experimentation Cloud analytics (e.g., AWS, GCP, Azure) Leadership and team management

Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee and food service business. In this role, you will build predictive and optimization models to improve store operations, customer experience, and supply chain efficiency. You will lead analytics projects from problem framing to deployment, partnering with business, tech, and retail stakeholders. Responsibilities include designing experiments, developing machine learning solutions, creating scalable data pipelines, and presenting insights to leadership. You'll mentor junior data scientists and help shape Starbucks' data and analytics strategy in a values-driven, inclusive culture. Responsibilities Lead end-to-end development of predictive and machine learning models to support operations, marketing, and supply chain decisions Partner with cross-functional teams to translate business problems into analytical solutions and measurable outcomes Design and analyze experiments (A/B tests) to evaluate initiatives and optimize performance Build and maintain scalable data pipelines and analytical datasets using SQL and modern data platforms Develop clear data visualizations and presentations for technical and non-technical stakeholders, including senior leadership Mentor and guide junior data scientists and analysts, promoting best practices in modeling and analytics Contribute to the data and analytics roadmap, recommending tools, methods, and standards Ensure data quality, governance, and responsible AI practices in all modeling efforts Required Skills Python SQLMachine learning Statistical modeling Predictive analytics A/B testing and experimentation Data visualization (e.g., Tableau, Power BI) Cloud platforms (e.g., AWS, Azure, GCP) Data engineering / ETLOptimization and forecasting

Starbucks is seeking a Senior Manager, Data Science to lead advanced analytics that power decisions across our global coffee and food business. In this role, you'll build and guide a high-performing data science team to optimize store operations, personalize customer experiences, and improve supply chain and pricing strategies. You will design and deploy machine learning models, collaborate with cross-functional partners, and translate complex insights into clear, actionable recommendations. You'll champion data best practices, mentor partners, and support Starbucks' commitments to ethical sourcing, sustainability, and an inclusive, values-driven culture. Responsibilities Lead and mentor a data science team, setting strategy, priorities, and best practices. Design, build, and deploy machine learning and statistical models to support key business decisions. Partner with operations, marketing, digital, and supply chain teams to define analytics use cases and deliver actionable insights. Translate complex analytical findings into clear recommendations for senior leadership. Establish standards for data quality, model governance, and experimentation across the organization. Develop experimentation frameworks (A/B tests) to measure impact of new initiatives. Collaborate with data engineering to ensure robust data pipelines and scalable model deployment. Monitor model performance and refine solutions based on business outcomes and new data. Influence long-term data and analytics roadmap in alignment with Starbucks' mission and values. Foster an inclusive, learning-focused culture within the data science team. Required Skills Machine learning Statistical modeling Python RSQLData visualization (e.g., Tableau, Power BI) Big data platforms (e.g., Spark, Hadoop) A/B testing and experimentation Cloud analytics (e.g., AWS, GCP, Azure) Leadership and team management