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Data Science Government Jobs in Edison, NJ (NOW HIRING)

Junior Research Scientist

New York, NY ยท On-site

$62K - $70K/yr

Integrate survey data and publicly available government data, as necessary. * Perform comprehensive ... Bachelor's degree in public health, epidemiology, biostatics, health economics, data science, or a ...

Showing results 41-60

Data Science Government information

See Edison, NJ salary details

$47.6K

$170.8K

$252.1K

How much do data science government jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science government in Edison, NJ is $170,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,200.00 and $176,000.00 per year, depending on experience, location, and employer.

What is a data scientist in government?

A data scientist in government applies statistical analysis, machine learning, and data visualization techniques to solve public sector challenges. They work with large datasets from various sources, such as census records, public health data, and transportation systems, to extract insights that inform policy decisions and improve public services. Their work can include predictive modeling, program evaluation, and developing tools for transparency and accountability. Government data scientists often collaborate with policymakers, IT professionals, and researchers to ensure data-driven decision-making. This role is crucial for making government operations more efficient and responsive to the needs of citizens.

What are the key skills and qualifications needed to thrive as a data scientist in government?

To thrive as a Data Scientist in government, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, often supported by an advanced degree. Familiarity with tools such as Python, R, SQL, and government-specific data platforms, as well as relevant certifications like Certified Analytics Professional, is highly valued. Excellent communication, problem-solving, and collaboration skills help translate complex data into actionable insights for diverse stakeholders. These skills ensure that data-driven decisions effectively support public policy, enhance services, and address societal challenges.

How does collaboration typically work between data scientists and policy teams in government settings?

In government settings, data scientists often work closely with policy teams to translate complex data insights into actionable policy recommendations. Collaboration usually involves regular meetings to align on project goals, clarify data needs, and discuss findings. Data scientists help interpret analytical results in the context of policy objectives, while policy teams provide guidance on legislative priorities and practical constraints. This cross-functional teamwork ensures that data-driven solutions are both technically sound and aligned with public interest.

Do data science government professionals work for the government?

Yes, data science professionals working in government roles are employed by government agencies or departments. They analyze data to support policy making, public services, and operational efficiency, often using tools like Python, R, and SQL. These roles typically require security clearances and knowledge of public sector regulations.

What are popular job titles related to Data Science Government jobs in Edison, NJ?

For Data Science Government jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Data Science Government jobs in Edison, NJ look for?

The top searched job categories for Data Science Government jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Data Science Government jobs?

Cities near Edison, NJ with the most Data Science Government job openings:

Infographic showing various Data Science Government job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $170,835 per year, or $82.1 per hour.

Applied AI ML Lead, Chief Data & Analytics Office

J.P. Morgan

Jersey City, NJ โ€ข On-site

Full-time

Medical, Retirement

Re-posted 7 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Join a world-class data science team at JPMorgan Chase and help shape the future of our Chief Administrative Office. As a leader in applied AI and machine learning, you'll have the opportunity to work on high-impact projects that influence the way we do business across multiple domains. Collaborate with talented colleagues, leverage cutting-edge technologies, and see your work make a tangible difference. We value curiosity, technical excellence, and a passion for solving complex problems. If you're ready to accelerate your career and drive meaningful change, we want to hear from you. 

As an Applied AI ML Lead in the Chief Data & Analytics Office, you will lead the development and deployment of innovative AI and machine learning solutions. You will collaborate with cross-functional teams to address complex business challenges, drive adoption of modern ML practices, and ensure responsible AI governance. You will have the opportunity to work with state-of-the-art technologies and contribute to a culture of technical excellence and continuous learning. 

Job Responsibilities: 

  • Lead the hands-on design, development, and deployment of advanced AI, GenAI, and large language model solutions. 
  • Serve as a subject matter expert on a wide range of machine learning techniques and optimizations. 
  • Collaborate with product, engineering, and business teams to deliver scalable, production-ready AI systems. 
  • Conduct experiments using the latest ML technologies, analyze results, and tune models for optimal performance. 
  • Own end-to-end code development in Python for both proof-of-concept and production-ready solutions. 
  • Integrate generative AI within the ML platform using state-of-the-art techniques. 
  • Drive adoption of modern ML infrastructure, tools, and best practices. 
  • Optimize system accuracy and performance by identifying and resolving inefficiencies. 
  • Communicate technical concepts and results to both technical and business stakeholders. 
  • Ensure responsible AI practices, model governance, and compliance with regulatory standards. 
  • Mentor and guide other AI engineers and scientists, fostering a culture of continuous learning. 

Required Qualifications, Capabilities, and Skills: 

  • Master's or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field. 
  • Minimum 8 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models. 
  • At least 5 years of experience programming in Python; experience with ML frameworks such as PyTorch or TensorFlow. 
  • Proven experience designing, training, and deploying large-scale ML/AI models in production environments. 
  • Deep understanding of prompt engineering, agentic workflows, and orchestration frameworks. 
  • Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm). 
  • Solid grasp of MLOps tools and practices (MLflow, model monitoring, CI/CD for ML). 
  • Strong communication skills with the ability to explain complex technical concepts to diverse audiences. 
  • Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners. 
  • Experience applying data science and ML techniques to solve business problems. 
  • Passion for detail, follow-through, and technical excellence. 

Preferred Qualifications, Capabilities, and Skills: 

  • Experience with high-performance computing and GPU infrastructure (e.g., NVIDIA DCGM, Triton Inference). 
  • Familiarity with big data processing tools and cloud data services. 
  • Advanced knowledge in reinforcement learning, meta learning, or related advanced ML areas. 
  • Experience with search/ranking, recommender systems, or graph techniques. 
  • Background in financial services or regulated industries. 
  • Experience with building and deploying ML models on cloud platforms such as AWS Sagemaker, EKS, etc. 
  • Published research or contributions to open-source GenAI/LLM projects. 

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ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.