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AI Engineer 4 (Gen AI Platform Services: Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 3+ years of experience with Kubernetes Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).

AI Engineer 4 (Gen AI Platform Services: Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 3+ years of experience with Kubernetes Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).

JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Data Analyst I or II (we are open to hiring at either level) to join the Statistics and Data Science department and support a diverse range of research projects. At NORC, Data Analysts are early career team members who train and work with our Statisticians and Data Scientists to perform tasks such as data processing, quality assurance, analysis, and dissemination. As part of their data processing responsibilities, Data Analysts import, clean, standardize, transform, and validate data sets. They also research and document data procedures and support the investigation of data problems. They may identify, analyze, and interpret trends or patterns in data sets, support modeling efforts, and help prepare data presentations and reports, including developing charts, graphs, and tables. In addition, the Data Analyst may assist in data collection and harmonization from primary or secondary data sources (e.g., administrative records, commercial data, social media data), preparing data files for delivery, and the maintenance of databases, data systems, and their relevant metadata/dictionaries. The Data Analyst is expected to work collaboratively in a team environment. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. Location: This is a hybrid role based in either our Chicago Loop or downtown DC office, with a minimum of six days per month in the office. We welcome interest from future graduates; however, this position requires a completed Bachelor's degree. If you are still pursuing your degree, please consider applying once your graduation requirements have been met. DEPARTMENT: Statistics and Data Science The Statistics and Data Science (SDS) department provides the scientific foundation required to advance NORC's project portfolio. SDS delivers rigorous, innovative, and fit-for-purpose solutions along the project lifecycle. The department provides leadership for NORC's approach on a broad range of approaches for study design and the analysis of primary and secondary data. SDS expertise includes artificial intelligence and machine learning; Bayesian analysis; causal inference; disclosure avoidance; imputation; data linkage and statistical matching for combining multiple data sources; data quality assessment; efficient and reproducible workflow development; privacy-preserving methods; small area estimation; statistical methods for survey sampling, weighting, estimation, and inference; and visualization. The SDS department works closely with research, technology, and operational teams across NORC to ensure that statistical excellence and innovation remain central to the organization's work. Many of NORC's projects and proposals are led by substantive research departments that require significant contributions from SDS staff. SDS works closely with highly collaborative groups across the organization to ensure success through cross-departmental partnerships. To further capture the innovative spirit of NORC, SDS also leads projects that target departmental focus areas. Examples of recent project topics involving SDS staff include survey design, weighting, and analysis; AI for enhancing data quality, standardization, and integration; enhancing traffic safety data; linkage of health administrative data and surveys; and testing data visualization approaches for effective communication. RESPONSIBILITIES: Collaborate with statisticians, data scientists, technology experts, and subject matter experts to implement and improve data management and analysis activities. Develop programs and scripts for data cleaning, integration, transformation, and harmonization, as well as data quality checks and validation Support and enhance applications and databases already built for various research needs and produce data documentation and dictionaries. Create data dashboards and visualizations, including preparing charts, graphs, and tables for reports and presentations. Perform various types of data analysis and modeling, often involving multiple data sets. Contribute to documentation, reports, and presentations through writing sections, creating basic analytic summaries, and developing tables and graphics. Apply AI tools to help improve efficiency. Perform other duties as assigned. REQUIRED SKILLS: Bachelor's degree in statistics, data science, computer science, or an equivalent field. 0-2 years' relevant experience (internships included). Statistical programming in multiple packages and databases, including Python (required) Familiarity working with large data sets, conducting statistical and quantitative modeling with strong programming. Strong foundation in areas of analytic methods, data engineering, machine learning, and scientific methods of inquiry. Experience with data management, data reduction techniques and data visualization. Working knowledge of different types of data that can be sourced whether from administrative data, surveys, social media, or sensor data. Strong skills in problem solving and quantitative analysis are required, including a willingness to understand deviations and ask questions about data issues. Able to organize and prioritize work assignments to meet project needs. Strong communication, writing and data storytelling skills. Enthusiasm for teamwork and collaboration across disciplinary boundaries. Preferred Skills: Experience working with SAS, Tableau, Hadoop, Hive, Databricks, MapReduce, and/or other large data systems Additional expertise in large and small language models, and machine learning, in working in cloud environments (e.g., AWS, Azure, GCP), and with command-line workflows (e.g., in bash) Experience with JavaScript programming. Qualified applicants must be eligible to work in the U.S. now and in the future. We regret that we are unable to offer visa sponsorship for this position. Please include a Resume and Cover Letter when applying. Candidates should be prepared to provide professional references upon request. SALARY AND BENEFITS: The pay range for this position is $62,000-$73,000. This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

Three Hundred Applications, Zero Recruiter Calls Volume Is Not a Strategy When Nobody Opens the Resume You track applications in a spreadsheet. The number looks impressive. The callback count is zero. ATS filters, keyword mismatches, and sourcers who never see your name are not mysteries. They are the default. If you cannot get Java interviews, the market is not "ignoring talent." It is ignoring an unmarketed, unproven profile. SynergisticIT exists for jobseekers who cannot break the first-round wall. After skills, projects, and interview readiness, the team markets you to clients instead of leaving distribution to Easy Apply. Make the Resume Worth Opening Java hiring still tests Core Java, Spring Boot, microservices, SQL, DSA, and basic cloud/DevOps. JOPP rebuilds those skills, assigns enterprise-style projects, and prepares certifications companies still use as filters. Mock interviews stop you from wasting the rare screen you finally get. This is the opposite of sending the same PDF 300 times. You change the product, then someone sells it. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. You're not alone-and you're not the problem. The reality? Most CS grads struggle to land interviews because their resumes look just like everyone else's. Employers want more than a diploma-they want proven, practical skills, real-world tools, and candidates who are ready to perform from day one. That's exactly what SynergisticIT delivers. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Explore JOPP: Contact: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Interviews Come From updated tech skills + Aggressive Marketing, Not Hope Candidates have landed with Visa, Apple, PayPal, Walmart Labs, AutoZone, Wells Fargo, bank, Client, SAP, Telecommunication, Telecommunication, Intuit, Ford, and Client. Salaries after successful completion often range $95k-$154k. If the spreadsheet is growing and the phone is not, change the system. Stop counting applications. Start getting interviews. When nothing else works, JOPP works Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Ghosted After Applying: Candidates Tired of Silence Ghosting Is Now the Default. It Does Not Have to Be Your Default. You apply, sometimes complete a HackerRank, and then nothing. No rejection, no recruiter, no feedback. Data engineer roles are competitive, and companies ghost candidates who look generic: some SQL, some Python, no pipeline narrative, no cloud, no Spark. Silence is a market signal that your profile is not being championed. Make Your Profile Impossible to Ignore JOPP covers the pieces interviews actually poke: SQL performance, Python, Spark, Databricks/Snowflake, streaming concepts, and cloud ETL patterns. You complete pipeline projects with clear architecture. Resume work makes those projects scannable. Interview prep stops you from blanking on "walk me through a pipeline you built." Then the marketing team works the network. Ghosting still happens in tech, but candidates with advocates get more live conversations than candidates who only click Easy Apply. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. You're not alone-and you're not the problem. The reality? Most CS grads struggle to land interviews because their resumes look just like everyone else's. Employers want more than a diploma-they want proven, practical skills, real-world tools, and candidates who are ready to perform from day one. That's exactly what SynergisticIT delivers. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Explore JOPP: Contact: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Aimed at Direct Full-Time Roles JOPP emphasizes interviews for direct clients and full-time positions rather than contract chains. Salary outcomes after successful completion are often listed from about $95k to $154k, with data hires associated with firms such as Client, Client, Banking, Ford, and Walmart Labs. If your current process is apply-and-wait, you already know the result. Replace ghosting with scheduled interviews. When nothing else works, JOPP works Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Easy Apply Is Not a Job Search One-Click Apply Trains You to Expect Silence LinkedIn Easy Apply feels like work. It is not. Data analyst hiring managers want SQL, a visual portfolio, and a story about a KPI you moved. They do not want another generic "detail-oriented Excel user." If you never hear back, the button is doing what it was designed to do: collect volume, not champion you. Show the Work in 30 Seconds You create dashboards, data-quality stories, and business cases a recruiter can scan. Resume rewriting puts tools and outcomes first. Interview prep covers live SQL and "walk me through this chart" rounds that Easy Apply never prepares you for. Then JOPP's client network does the part job boards refuse to do: introduce a prepared candidate. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. You're not alone-and you're not the problem. The reality? Most CS grads struggle to land interviews because their resumes look just like everyone else's. Employers want more than a diploma-they want proven, practical skills, real-world tools, and candidates who are ready to perform from day one. That's exactly what SynergisticIT delivers. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Explore JOPP: Contact: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Analyst Pay Without the Application Lottery After successful completion, attendees pursue data analyst and related roles with published salary outcomes often in the mid-$80ks to $150ks. Employer examples include Walgreens, AutoZone, Wells Fargo, Client, Visa, and PayPal. If clicking Apply is your entire process, you already know the result. Get out of the Easy Apply pile. When nothing else works, JOPP works. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Certificates Without Interviews: Roles for Self-Taught Jobseekers A Folder of Certificates Is Not a Hiring Signal by Itself You finished Coursera, Udemy, and vendor badges. Your LinkedIn looks busy. Recruiters still skip you because they cannot see depth, code you can discuss, or anyone willing to vouch that you will survive week one. Self-study proves curiosity. It does not prove you can pass a paid ML interview. SynergisticIT JOPP is for self-taught and certificate-heavy jobseekers who want AI, ML, and data scientist jobs. JOPP replaces isolated courses with live instruction, integrated projects, interview pressure, and employer outreach. Depth Beats a Badge Collection JOPP connects Python, statistics, ML, deep learning, NLP, LLMs/GenAI, and data engineering context so you can answer "how would you productionize this?" You will be asked to defend choices. That is what self-paced video never does. Small batches mean you cannot hide. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. You're not alone-and you're not the problem. The reality? Most CS grads struggle to land interviews because their resumes look just like everyone else's. Employers want more than a diploma-they want proven, practical skills, real-world tools, and candidates who are ready to perform from day one. That's exactly what SynergisticIT delivers. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Explore JOPP: Contact: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Interview preparation includes technical and scenario rounds plus communication coaching, because AI interviews punish people who only recite architecture diagrams. Get Hired for Work, Not Another Class Target roles include ML engineer, AI engineer, data scientist, and hybrid seats. Program marketing cites salaries often $95k-$154k after successful completion and employers such as Apple, Google, Client, PayPal, and Banking. If certificates have not produced interviews, adding one more course is the definition of doing the same thing. Trade badges for interviews. When nothing else works, JOPP works. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Hendrick Autoguard - HIC Location: 6030 East Independence Blvd, Charlotte, North Carolina 28212 Position Summary The Data Engineer is a mid-level individual contributor responsible for the systems and structures that make Hendrick Autoguard's data reliable, accessible, and useful. This role owns the design and operation of the ingestion pipelines, transformation logic, and data models that serve both business intelligence and AI initiatives. This is not a role that waits for requirements to arrive fully formed. The Data Engineer is expected to develop a working understanding of how the business operates and to apply that knowledge when making technical decisions. A pipeline that runs on time but models the business incorrectly has not done its job. That distinction sits at the center of this role. The role works alongside the analysts and BI developers who build reporting on the data platform, the data science and AI teams who use curated data for model development, and the team that administers the underlying cloud infrastructure. The Data Engineer makes sure the data layer serves each of these groups well, so that none of them has to rebuild it for their own use. What This Role Does The Data Engineer owns the movement of data from source systems into the Snowflake data platform. In practice that means designing, building, and maintaining ingestion pipelines; orchestrating workflows in Dagster so they are observable, reliable, and operationally sound; and monitoring pipeline health and data availability. When a load fails or data arrives late, the Data Engineer investigates, fixes the underlying cause, and puts alerting in place so the same problem surfaces early next time rather than in a stakeholder's report. Once data lands, the Data Engineer develops and maintains the dbt transformation models that turn raw source data into clean, tested, and well-documented datasets. That includes designing dimensional models and data marts that support both reporting and machine learning use cases, and implementing data quality checks and testing standards throughout the transformation layer. Downstream consumers should be able to trust a dataset without re-verifying it themselves. The Data Engineer also prepares data for AI. That work includes structuring feature datasets and training data pipelines, and collaborating with data science and AI teams to make sure the data meets their requirements for quality, freshness, and structure. The Data Engineer contributes to the semantic layer that gives AI and analytics consumers consistent, well-defined access to business metrics and entities, and keeps data lineage and governance in view, since AI applications raise the stakes on knowing where data came from and how it may be used. The Data Engineer is also expected to advise on the strategic direction of the data engineering toolset, weighing in on platform and feature updates and evaluating new capabilities as they become available. Staying current with best practices and industry advancements in data engineering, AI data preparation, and orchestration is part of the job, not a side interest, and that knowledge should inform how the team's tools and standards evolve over time. Across all of this work, the Data Engineer builds working knowledge of the Autoguard business processes it supports, including vehicle service contract and protection product sales through dealership partners, claims administration, and cancellations, along with the workflows and decisions that depend on data from those areas. The Data Engineer engages directly with business stakeholders to understand their data needs, translates those needs into sound technical designs, and applies business context when weighing modeling decisions, pipeline priorities, and data quality standards. That knowledge makes each new request faster to scope. It also makes the Data Engineer a useful partner when a team is still working out which question it needs to answer. Adjacent Competencies Dashboard and report preparation are not a routine part of this role, and primary ownership of that work belongs to analysts and BI developers. The Data Engineer may occasionally need to support that function, though, whether by building or troubleshooting a report in a pinch or by helping an analyst work through a modeling issue at the source. The Data Engineer's core job is to deliver the modeled, tested data those teams build on, and to work with them when a reporting need exposes a gap in the data layer. Experience And Qualifications A candidate for this role has 3-7 years of professional experience in data engineering or a closely related discipline. They are proficient in SQL and have hands-on experience with a cloud data warehouse, a data transformation and modeling framework, and a workflow orchestration tool. Experience with Snowflake, dbt, and Dagster is strongly preferred, as is familiarity with AWS, including storage, IAM, and basic networking concepts. Preferred experience includes Python for pipeline development or data scripting; exposure to data quality frameworks, data contracts, or observability tooling; supporting ML pipelines or AI data preparation workflows; familiarity with medallion architecture or similar layered data design patterns; and involvement in data governance or data catalog efforts. The current technology environment includes Snowflake, Dagster, dbt, AWS (S3, EC2, and IAM), Python, and GitHub. Candidates must be able to engage with non-technical stakeholders and translate business needs into technical requirements. Clear written and verbal communication is not optional in this role. The Data Engineer produces model documentation, dataset descriptions, and design notes that analysts, data scientists, and business stakeholders rely on. That documentation needs to be accurate, specific, and usable without a follow-up conversation. Working Conditions The Data Engineer works on site at Hendrick Automotive Group headquarters in a standard office environment, collaborating in person with technology teams and the business stakeholders this role supports. Travel is minimal, and may be by car or plane. Position is not remote due to essential functions of the job. Position is required to sit for prolonged periods of time, extensive use of computer and related functions like typing and other office equipment used in regular performance of essential functions like phone, printer. Hendrick is an Equal Opportunity employer. Minorities, women, veterans, and individuals with disabilities are encouraged to apply. For more information regarding the EEOC, please visit

Artificial Intelligence Senior Associate Overview / Summary We are seeking an Artificial Intelligence Senior Associate to develop and deploy production-grade AI applications, algorithms, and intelligent automation solutions. This role focuses on building multi-agent systems, RAG pipelines, data-driven applications, and AI services that solve complex problems, generate recommendations, extract patterns, make predictions, and enable self-service capabilities. The role involves working across generative AI, natural language processing, deep learning, cognitive automation, intelligent process automation, and related AI technologies, with a strong emphasis on production software engineering, scalability, safety, evaluation, and observability. Key Responsibilities Understand business requirements and develop AI algorithms, models, and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data, orchestrate automation, and enable self-service capabilities. Architect and deploy production multi-agent orchestration systems using modern agent frameworks with state management and checkpointing. Design and productionize RAG pipelines, including chunking, embeddings, hybrid retrieval, and reranking. Build data-driven applications that translate data into actionable intelligence through large-scale experimentation. Develop innovative applications using generative AI, deep learning, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants, and specialized programming. Research and optimize AI technologies to improve the efficiency and accuracy of data analysis and automation. Design and implement safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code solutions for deploying AI services in cloud environments. Implement evaluation pipelines and observability/tracing for AI and agent systems, including evaluation datasets, LLM-as-judge scoring, and regression monitoring. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to support safe and reliable AI outputs. Design cost and latency optimization strategies, including tiered model routing and caching. Integrate validated AI outputs with operational systems and reporting pipelines. Collaborate with data scientists to productionize AI prototypes into scalable, monitored services. Establish versioning, testing, and safe rollout practices for evolving AI and agent logic. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 3+ years of experience building production software systems, including 1-2+ years working on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production. Strong Python proficiency, including asynchronous/concurrent programming. Experience with backend frameworks such as FastAPI or Flask. Hands-on experience with agent orchestration frameworks such as LangGraph, CrewAI, LlamaIndex, or equivalent. Experience building RAG pipelines, including vector databases, embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally with Google Cloud Platform. Experience with cloud technologies such as BigQuery, Cloud Run/GKE, Vertex AI, and Pub/Sub, or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Experience with containerization and CI/CD, including Docker, Kubernetes, and GitHub Actions/Cloud Build. Experience building evaluation and observability pipelines for LLM/agent systems, including offline evaluation datasets, LLM-as-judge scoring, and tracing tools such as LangSmith, Langfuse, OpenTelemetry, or equivalent. Understanding of LLM safety practices, including guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code or SQL. Strong software engineering fundamentals, including API design, testing, version control, and security best practices. Experience with Google Cloud Platform. Preferred Qualifications Experience with cost optimization and model routing, including tiered pipelines and per-task or per-conversation cost modeling. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. Familiarity with Model Context Protocol (MCP) or similar standards for tool and data integration across agents. Experience in a startup or 0-to-1 product environment with evolving requirements. Master's degree in Computer Science, Software Engineering, or a related field. Work Arrangement Hybrid work arrangement with four days per week onsite. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

The Last Resort That Actually Works: When Every Other Path Did not You Have Already Tried the Usual Advice You rewrote the resume. You networked. You applied daily. You took a cheaper bootcamp. You used a staffing firm. You practiced on LeetCode at midnight. You still are not hired-or you get interviews and lose them. for the jobseeker who is out of tactics: recent graduates, people who cannot get interviews, people who fail interviews, caregivers back from family leave, career-gap candidates, outdated-stack professionals, laid-off reentrants, OPT students, career switchers, and bootcamp grads still unemployed. Several Hireable Paths JOPP targets software engineer, Data Analyst/Scientist and Java developer roles with Spring, microservices, DevOps, and DSA. Data Science JOPP targets data analyst, data scientist, data engineer, and AI/ML roles with Python, SQL, BI, cloud data platforms, ML, and GenAI. genuine projects, a 5,000+ interview-question database, and outreach across 24,000+ tech-client contacts. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. You're not alone-and you're not the problem. The reality? Most CS grads struggle to land interviews because their resumes look just like everyone else's. Employers want more than a diploma-they want proven, practical skills, real-world tools, and candidates who are ready to perform from day one. That's exactly what SynergisticIT delivers. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Explore JOPP: Contact: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? When Nothing Else Works, JOPP Works That line is the point JOPP is not magic, and it is not passive: attendance, assessments, relocation openness where required, interview show-up, and project completion matter. It is a full system for people who discovered that certificates, job boards, and "placement support" do not get them hired. If every other path stalled, stop collecting tactics. When nothing else works, JOPP works. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Genesis10 is currently seeking a Senior Data Scientist for a contract position with a Financial Services Organization located in Atlanta, GA or Dallas, TX. This role is responsible for utilizing advanced analytical techniques and tools to provide data and reporting to various departments to facilitate identification, documentation, analysis, monitoring, mitigation and tracking of risks. The Senior Data Scientist will collaborate with other branches of the Risk department, as well as with management from other departments in various business capacities, to build, recalibrate, and validate advanced predictive or forecasting models. Responsibilities: Use quantitative and analytical skills to mine, process and analyze data using SQL, Fabric, R, Python, SAS, Power BI, MS Excel or similar spreadsheet programs, and other business tools Build, recalibrate, and validate advanced predictive or forecasting models Develop and present analysis on performance, trends, and projections to upper management to facilitate business and strategic decisions Prepare and distribute recurring and ad-hoc analysis and reporting on portfolios including performance and projections Provide easy-to-understand, action-oriented analytical reports and other presentations to the management team Identify and evaluate portfolio trends and KPIs with respect to market valuations, depreciation, residuals, and other factors Trouble-shoot data deficiencies and errors to ensure timely and accurate analysis of the data Confer with IT and functional business lines to evaluate, design, implement, and maintain relational databases and/or large data sets Work with the Risk Management team to gather requirements and develop business cases as necessary Requirements: Bachelor's Degree in Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields Seven (7) years of experience in data analytics, such as data mining, forecast modeling, and databases Three (3) years of experience with risk management or pricing/optimization Proficient with SQL, Fabric, Python, R or other business intelligence software Proficient with using Microsoft Office Suite applications such as Excel, PowerPoint, Word, and Power BI Experience with statistical analysis software/languages (R, Python, SQL, & SAS) in addition to training in statistical modeling, data analysis, or computer programming Ability to work with mathematical concepts such as probability and statistical inference and apply concepts to practical situations Detail oriented with problem solving and critical thinking abilities Effective verbal and written communication and interpersonal skills Must live within a commutable distance to one of the following cities: Atlanta, GA or Dallas, TX Desired skills: Master's Degree and/or PhD in Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields Prior Auto finance or captive industry experience Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20 years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

STUDENT ANALYST - STUDENT ASSISTANT-R&D - STUDENT ENGINEER - Software Developer 16-01567 Who We Are: Join the Defense and Intelligence Solutions team as a Software Engineering Intern for Summer 2027. Develop software ranging from low-level algorithms to large-data visualization and other software-centric projects. Assignments may involve signal processing, data analytics, artificial intelligence and machine learning, data storage and processing, graphical user interfaces, databases, web applications, or cloud-based development. Work with computer scientists and engineers to design, prototype, test, and document solutions supporting customer mission needs. Objectives of this Role: Develop applications involving signal processing, data storage, data analysis and processing, graphical user interfaces, databases, and web applications that will ultimately become part of larger systems supporting customer mission needs. Depending on the assignment, explore or apply artificial intelligence and machine learning techniques to data analysis, pattern recognition, prediction, optimization, or other engineering problems. Proactively communicate with project mentors, provide status updates, and critically think through challenges. Summer 2027 Student position. Daily and Monthly Responsibilities: Assist to develop software in one or more languages, including C++ and/or Java, for proofs of concept, prototypes, and production-grade applications. Proactively work with experienced computer scientists and engineers to develop advanced software solutions and translate functional requirements into conceptual and detailed designs. Contribute to software projects involving data analytics, machine learning, signal processing, visualization, web applications, graphical user interfaces, databases, or related areas, depending on the assignment. Create unit and integration tests, and contribute to software testing, installation, and documentation. Proactively communicate with project mentors and team members, provide status updates, critically think through challenges, and contribute effectively both independently and as part of a team. Requirements: Must be pursuing a Bachelors degree in Computer Science, Software Development, Software Engineering or related degree field such as Computational Engineering. Must be Sophomore, Junior or Senior level student. 0 years: C++ and Java skills with the ability to work with advanced data structures, data analytics, and machine learning applications. Familiarity with software development on Windows and LINUX operating systems. Exposure to, or interest in, artificial intelligence, machine learning, data analytics, signal processing, or related concepts and tools through coursework, projects, research, or prior experience. Proactive communicator, quick to learn, strong problem-solving and quantitative data analysis skills. Work both independently and within a team with effective communication skills. A valid/clear driver's license is required. Special Requirements: Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen. Job Locations: San Antonio, Texas For more information about this division, visit the Defense & Intelligence Solutions home page. An Equal Employment Opportunity Employer: race, color, religion, sex, national origin, disability, and veteran status. If you need assistance with completing the application, please Contact Us Back To Top

Who We Are: Join the Defense and Intelligence Solutions as a Research Computer Scientist. Applicants interested in this position must hold a current / active TS/SCI with a Full Scope Polygraph. You will be challenged in developing complex and innovative software solutions across a variety of customers and platform types. Enjoy a flexible work schedule, excellent benefits, and working alongside great teammates. Objectives of this Role: Highly motivated, curious, detailed oriented, and passionate critical thinker to add to a dynamic team of Software Architects, Computer Scientists and Engineers. Contribute to and lead a team through all aspects of the Software Life Cycle using Agile Methodologies, to include but not limited to requirements interpretation, design, trade studies, development, testing, task tracking and status, and deployment. Support design and development for new technical solutions and frameworks for thin client, server side development, object oriented programming, embedded programming and database patterns and implementation. Support the technical leads in work breakdowns of larger tasks, effectively be able to estimate individual tasking and assist in estimations for junior staff. Assist and lead small teams planning and task tracking. Be a proactive and self directed technical contributor that is capable of mentoring and effectively communicating, both verbally and in writing, task updates, technical solutions, questions, and technical documentation, including interactions with the client. Daily and Monthly Responsibilities: Contribute to the design and development of an advanced software architecture that will utilize object oriented and embedded programming fundamentals, distributing computing, thin clients, and data distribution systems. Actively contribute and eventually lead all phases of the project life cycle. Develop technical requirements, design and develop innovative solutions to difficult problems, testing and integration with a larger system, and install and document complete solutions. Interact with team members, work with the team and customers to understand requirements and constraints of the target environment. Assist with the breakdown of larger tasks and develop estimates of individual and team tasks. Activities will include work primarily at SwRI facilities/laboratories and short-term travel to government client facilities in the U.S. and overseas for meetings, system installations and support. Proactively and confidently communicate on task status, communicating with team leads and project leadership, and mentoring junior staff. Must be effective in self-direction on tasks as well as working within a team. Requirements: Requires a Bachelors or a Masters degree in Computer Science or Computer Engineering (emphasis on programming and software development) or related degree field such as Computational Engineering. Required to hold a current / active TS/SCI clearance with a Full Scope Polygraph. 4+ years: Critical thinking and proactiveness required. Experience in a variety of programming languages such as Javascript, JAVA, C#, C++, HTML5, and Python, as well as comfortable in Agile methodologies for project execution. Analyze and translate complex technical requirements into an application design, implementation, unit and integration testing; software/hardware integration & documentation. Experienced and proficient in working with Microsoft Tools, Software Repositories, Software Engineering practices, Distributed computing, and Computer Science principles. Excellent verbal and written communication skills, detail oriented, proactiveness, fast learner, critical thinker, work in a collaborative team environment, and the ability to self-direct. A valid/clear driver's license is required

Your Degree Opened the Door. Interviews Did Not. You finished a computer science, IT, or engineering degree and expected recruiters to call. Instead, applications sit in ATS queues, "entry-level" Java jobs ask for two years of Spring Boot, and campus career services send generic resume tips. That is not a personal failure. Employers hire people who can talk through production-style Java work, not people who only completed coursework. What Recent Graduates Actually Need Employers screening junior Java talent look for Core Java, Spring Boot, REST APIs, SQL, Git, basic cloud exposure, and the ability to solve DSA problems out loud. They also want project stories you can defend in a technical screen. JOPP is built around that gap: 5-7 hours of live instructor-led sessions, small batches, hands-on enterprise-style projects, Oracle/AWS certification preparation, and mock interviews drawn from a 5,000+ client question bank. Roles This Path Can Lead To Successful completers are marketed for Java developer, Java backend, Java full-stack, software programmer, and related engineering seats at companies that have hired JOPP talent, including Visa, PayPal, Walmart Labs, Wells Fargo, Client, bank, Walgreens, AutoZone, SAP, and Cisco. Starting salaries commonly range from about $90k to $154k after successful completion, with a placement rate around 91.5%. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. You're not alone-and you're not the problem. The reality? Most CS grads struggle to land interviews because their resumes look just like everyone else's. Employers want more than a diploma-they want proven, practical skills, real-world tools, and candidates who are ready to perform from day one. That's exactly what SynergisticIT delivers. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Explore JOPP: Contact: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? See It. Believe It. Become It. Don't let a lack of interviews stall your career. Let's give hiring managers exactly what they're looking for-and then some. When nothing else works, JOPP works. You've already done the hard part. Now, let's get you hired. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Ghosted After Applying: Candidates Tired of Silence Ghosting Is Now the Default. It Does Not Have to Be Your Default. You apply, sometimes complete a HackerRank, and then nothing. No rejection, no recruiter, no feedback. Data engineer roles are competitive, and companies ghost candidates who look generic: some SQL, some Python, no pipeline narrative, no cloud, no Spark. Silence is a market signal that your profile is not being championed. Make Your Profile Impossible to Ignore JOPP covers the pieces interviews actually poke: SQL performance, Python, Spark, Databricks/Snowflake, streaming concepts, and cloud ETL patterns. You complete pipeline projects with clear architecture. Resume work makes those projects scannable. Interview prep stops you from blanking on "walk me through a pipeline you built." Then the marketing team works the network. Ghosting still happens in tech, but candidates with advocates get more live conversations than candidates who only click Easy Apply. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. You're not alone-and you're not the problem. The reality? Most CS grads struggle to land interviews because their resumes look just like everyone else's. Employers want more than a diploma-they want proven, practical skills, real-world tools, and candidates who are ready to perform from day one. That's exactly what SynergisticIT delivers. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Explore JOPP: Contact: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Aimed at Direct Full-Time Roles JOPP emphasizes interviews for direct clients and full-time positions rather than contract chains. Salary outcomes after successful completion are often listed from about $95k to $154k, with data hires associated with firms such as Client, Client, Banking, Ford, and Walmart Labs. If your current process is apply-and-wait, you already know the result. Replace ghosting with scheduled interviews. When nothing else works, JOPP works Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Certificates Without Interviews: Roles for Self-Taught Jobseekers A Folder of Certificates Is Not a Hiring Signal by Itself You finished Coursera, Udemy, and vendor badges. Your LinkedIn looks busy. Recruiters still skip you because they cannot see depth, code you can discuss, or anyone willing to vouch that you will survive week one. Self-study proves curiosity. It does not prove you can pass a paid ML interview. SynergisticIT JOPP is for self-taught and certificate-heavy jobseekers who want AI, ML, and data scientist jobs. JOPP replaces isolated courses with live instruction, integrated projects, interview pressure, and employer outreach. Depth Beats a Badge Collection JOPP connects Python, statistics, ML, deep learning, NLP, LLMs/GenAI, and data engineering context so you can answer "how would you productionize this?" You will be asked to defend choices. That is what self-paced video never does. Small batches mean you cannot hide. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. You're not alone-and you're not the problem. The reality? Most CS grads struggle to land interviews because their resumes look just like everyone else's. Employers want more than a diploma-they want proven, practical skills, real-world tools, and candidates who are ready to perform from day one. That's exactly what SynergisticIT delivers. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Explore JOPP: Contact: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Interview preparation includes technical and scenario rounds plus communication coaching, because AI interviews punish people who only recite architecture diagrams. Get Hired for Work, Not Another Class Target roles include ML engineer, AI engineer, data scientist, and hybrid seats. Program marketing cites salaries often $95k-$154k after successful completion and employers such as Apple, Google, Client, PayPal, and Banking. If certificates have not produced interviews, adding one more course is the definition of doing the same thing. Trade badges for interviews. When nothing else works, JOPP works. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Done With Staffing Runarounds: Jobs Without the Bench Story Marketing Your Resume Should Not Mean Sitting on a Bench You talked to consulting and staffing firms that promised interviews, asked you to inflate a resume, or left you waiting. Some offered contract roles that reset every few months. You wanted a full-time Java developer job. You got process. SynergisticIT contrasts JOPP with staffing companies that offer placement support without the upskilling, interview engine, and outcome model JOPP uses. for jobseekers who already tried that route and still need to get hired as Java developers or software engineers. Skills Plus Marketing, Not Marketing of Fiction JOPP insists on genuine resumes and real projects. You upskill in current Java, Spring, cloud/DevOps, and DSA. You prepare for interviews with questions from actual clients. Then SynergisticIT markets you for full-time positions. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. You're not alone-and you're not the problem. The reality? Most CS grads struggle to land interviews because their resumes look just like everyone else's. Employers want more than a diploma-they want proven, practical skills, real-world tools, and candidates who are ready to perform from day one. That's exactly what SynergisticIT delivers. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Explore JOPP: Contact: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Enterprise Roles With a Clearer Path Hires associated with JOPP include Visa, Apple, PayPal, Walmart Labs, AutoZone, Wells Fargo, Client, SAP, Cisco, Client, and others, with successful-completion salaries often $95k-$154k. If staffing ran you in circles, change the vehicle. Get trained, marketed, and hired for full-time Java work. When nothing else works, JOPP works. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

GRADUATE STUDENT-R&D - STUDENT ANALYST - Space Data Systems 15-01710 Who We Are: Space Data Systems is a CMMI-DEV V2.0 ML2/CL2 appraised high-performance software engineering team that empowers exploration by creating capable, sustainable software using proven technologies and effective software engineering processes in a people-focused work environment. Objectives of this Role: Work with small teams to develop, test, and deploy Java web applications to support a variety of NASA/ESA space missions. Department web applications support space missions by providing tools for planning mission activities, instrument telemetry data management, spaceflight operations tools, and space manufacturing support. Local year-round undergraduate Senior or Graduate student position. Daily and Monthly Responsibilities: Assist with the development and testing of new software functions in Java. Work with a team to create and improve existing web applications with Spring, JavaScript, jQuery, AJAX, and CSS. Write SQL to work with MariaDB and other databases. Collaborate with scientists and engineers to plan new features and review products in development. Requirements: Must be pursuing a Bachelors or a Masters degree in Computer Science. Undergraduate students must be rising seniors. 0 years: Academic or project-based experience with Java or either C++, C#, Groovy, or Scala and willingness to learn Java is required. Industry internship experience with Spring, JavaScript, jQuery, AJAX, JSP, Servlet, or SQL (Oracle or MySQL) is a plus. A valid/clear driver's license is required. Special Requirements: Must be a U.S. person (i.e., U.S. citizen, non-U.S. citizen national, lawful permanent resident, asylee, or refugee) due to ITAR work in section. Job Locations: San Antonio, Texas For more information about this division, visit the Space Science home page. An Equal Employment Opportunity Employer: race, color, religion, sex, national origin, disability, and veteran status. If you need assistance with completing the application, please Contact Us Back To Top

JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Data Scientist I to join the Health Sciences Department to support hospital discharge data processing across states and harmonizing and packaging files into a uniform format. For this role, proficiency in SAS is a requirement. Experience with R or Python is welcome but not essential. Prior work with healthcare or administrative claims data is preferred, and strong documentation practices are important. The Data Scientist I supports research, analytics, and data-driven decision-making. This role partners with research teams to collect, manage, analyze, and interpret data to deliver meaningful insights for clients and stakeholders. The position is responsible for importing, cleaning, standardizing, transforming, and validating data, identifying data quality issues, and developing reports and visualizations. The Data Scientist I may also support data management processes, and proposal development activities. This role works collaboratively in a team-oriented environment. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. Location: This is a hybrid role based in either our Chicago Loop or downtown DC office, with a minimum of six days per month in the office. Exceptional remote candidates may be considered as well. DEPARTMENT: Health Sciences Research NORC's Health Sciences staff produce rich data on social priorities including child development and healthy aging, the uses of electronic clinical data in research, and the applications and effectiveness of health information technology. The Health Sciences team is versatile and experienced in data acquisition, management, technical assistance, and analysis; the use of information technology in health care; and numerous data collection methods. Our track record of leadership and innovation includes the design and management of large-scale surveys, including extensive experience collecting biomeasures. RESPONSIBILITIES: Collect, clean, transform, validate, and harmonize data from a variety of sources. Identify trends, patterns, and data quality issues, and communicate findings and recommendations to project teams and stakeholders. Develop reports, dashboards, tables, charts, and visualizations. Create, document, manage, and maintain databases, data systems, and data dictionaries. Support data storage optimization and data management procedures. Collaborate with research teams, project leaders, and clients to understand analytical needs and support project objectives. Contribute to proposal development activities, including drafting technical or analytical sections. REQUIRED SKILLS: Bachelor's degree in one of the following fields: quantitative social sciences, public health, statistics, biostatistics, health informatics, math, data science, or computer science, or related field required. Advanced degree preferred. Proficiency with data management and data processing. 4 years of experience in positions of increasing responsibility, working with large data sets and conducting statistical/analytic programming, preferably working with large data sets Strong foundation in areas of statistics, mathematics, and data science. Advanced programming skills in SAS are required, including experience with SAS macros Additional experience with other statistical packages and database tools such as SQL, Python, R, Tableau, Hadoop, Hive, MapReduce and/or other large data systems is welcome but not essential. Prior work with healthcare or administrative claims data is strongly preferred. Strong skills in problem solving and quantitative analysis are required. Able to organize and prioritize work assignments to meet project needs. Outstanding interpersonal and critical reasoning skills. Strong written and verbal communication including strong technical writing skills. Strong data visualization/presentation skills. Able to explain technology, techniques, and approaches to others. Proficiency with MS Office software. Please include a Resume and Cover Letter when applying. Candidates should be prepared to provide professional references upon request. SALARY AND BENEFITS: The pay range for this position is $90,000-$104,000 This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Data Scientist I to join the Health Sciences Department to support hospital discharge data processing across states and harmonizing and packaging files into a uniform format. For this role, proficiency in SAS is a requirement. Experience with R or Python is welcome but not essential. Prior work with healthcare or administrative claims data is preferred, and strong documentation practices are important. The Data Scientist I supports research, analytics, and data-driven decision-making. This role partners with research teams to collect, manage, analyze, and interpret data to deliver meaningful insights for clients and stakeholders. The position is responsible for importing, cleaning, standardizing, transforming, and validating data, identifying data quality issues, and developing reports and visualizations. The Data Scientist I may also support data management processes, and proposal development activities. This role works collaboratively in a team-oriented environment. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. Location: This is a hybrid role based in either our Chicago Loop or downtown DC office, with a minimum of six days per month in the office. Exceptional remote candidates may be considered as well. DEPARTMENT: Health Sciences Research NORC's Health Sciences staff produce rich data on social priorities including child development and healthy aging, the uses of electronic clinical data in research, and the applications and effectiveness of health information technology. The Health Sciences team is versatile and experienced in data acquisition, management, technical assistance, and analysis; the use of information technology in health care; and numerous data collection methods. Our track record of leadership and innovation includes the design and management of large-scale surveys, including extensive experience collecting biomeasures. RESPONSIBILITIES: Collect, clean, transform, validate, and harmonize data from a variety of sources. Identify trends, patterns, and data quality issues, and communicate findings and recommendations to project teams and stakeholders. Develop reports, dashboards, tables, charts, and visualizations. Create, document, manage, and maintain databases, data systems, and data dictionaries. Support data storage optimization and data management procedures. Collaborate with research teams, project leaders, and clients to understand analytical needs and support project objectives. Contribute to proposal development activities, including drafting technical or analytical sections. REQUIRED SKILLS: Bachelor's degree in one of the following fields: quantitative social sciences, public health, statistics, biostatistics, health informatics, math, data science, or computer science, or related field required. Advanced degree preferred. Proficiency with data management and data processing. 4 years of experience in positions of increasing responsibility, working with large data sets and conducting statistical/analytic programming, preferably working with large data sets Strong foundation in areas of statistics, mathematics, and data science. Advanced programming skills in SAS are required, including experience with SAS macros Additional experience with other statistical packages and database tools such as SQL, Python, R, Tableau, Hadoop, Hive, MapReduce and/or other large data systems is welcome but not essential. Prior work with healthcare or administrative claims data is strongly preferred. Strong skills in problem solving and quantitative analysis are required. Able to organize and prioritize work assignments to meet project needs. Outstanding interpersonal and critical reasoning skills. Strong written and verbal communication including strong technical writing skills. Strong data visualization/presentation skills. Able to explain technology, techniques, and approaches to others. Proficiency with MS Office software. Please include a Resume and Cover Letter when applying. Candidates should be prepared to provide professional references upon request. SALARY AND BENEFITS: The pay range for this position is $90,000-$104,000 This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.