ZipRecruiter

Log In

1

Data Science Government Jobs (NOW HIRING)

Altagrove LLC

Data Science

Norfolk, VA · On-site

... data engineering solutions within government, defense, intelligence, or highly regulated ... Strong proficiency in Python and experience with modern data science and engineering frameworks.

SOSi

Data Science Lead

Doral, FL · On-site

... and government services industry. We deliver tailored solutions, tested leadership, and trusted ... SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ...

SOSi

Data Science Lead

Doral, FL

... and government services industry. We deliver tailored solutions, tested leadership, and trusted ... SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ...

SOSi

Data Science Lead

Doral, FL

... and government services industry. We deliver tailored solutions, tested leadership, and trusted ... SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ...

Prescient Edge

Data Science Lead

Doral, FL · On-site

... seeking a Data Science Lead to support a federal government client. Please note that the ... availability of this position is contingent upon. Benefits: At Prescient Edge, we believe that ...

LHi Group Ltd

Senior Manager, Data Science

Calumet, PA · On-site

$210K - $230K/yr

Senior Manager, Data Science Location: United States - Fully remote Type: Full-time We're ... used across government, payments and the digital-asset industry. Following a recent Series C ...

teKnoluxion

Data Science Analyst

Springfield, VA

$132K - $159K/yr

Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility) clearance and ... Maintain an ongoing working relationship with government data stewards and system Data Store owners ...

teKnoluxion

Data Science Analyst

Springfield, VA · On-site

$138K - $167K/yr

Overview Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility ... Maintain an ongoing working relationship with government data stewards and system Data Store owners ...

Sun Life Financial

Director, Data Science

Nashville, TN · On-site

Sun Life U.S. is one of the largest providers of employee and government benefits, helping ... The Director is responsible for advancing how Sun Life US uses data science, GenAI, and emerging AI ...

New

Sun Life Financial

Director, Data Science

Milwaukee, WI · On-site

Sun Life U.S. is one of the largest providers of employee and government benefits, helping ... The Director is responsible for advancing how Sun Life US uses data science, GenAI, and emerging AI ...

New

National Science Teachers Association

$140 - $190/hr

Senior Data Science Consultant Location : Washington, DC Education : M.A./M.S. Degree (Any Field or ... Supports configuration and use of Government-directed data platform capabilities to enable data ...

next page

Showing results 1-20

All JobsTechnology JobsData JobsData Consultant JobsData Science Government Jobs

Data Science Government information

See salary details

$46K

$165K

$243.5K

How much do data science government jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science government in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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.
More about Data Science Government jobs

What cities are hiring for Data Science Government jobs?

Cities with the most Data Science Government job openings:

What states have the most Data Science Government jobs?

States with the most job openings for Data Science Government jobs include:

What job categories do people searching Data Science Government jobs look for?

The top searched job categories for Data Science Government jobs are:

Data Science Government jobs near you
Infographic showing various Data Science Government job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Science

Altagrove LLC

Norfolk, VA • On-site

Full-time

Re-posted 21 days ago

Job description

Who we are:


Altagrove delivers smart and innovative technology solutions that create competitive advantages for our customers and their missions. Our focus areas include Space, Connectivity, Cyber, Cloud, Analytics, and Research & Development. As we continue to grow, Altagrove is actively recruiting for a Data Scientist to join our energetic and entrepreneurial team that is executing on a variety of projects that are technology oriented. A successful candidate will bring a core area of expertise and a passion for learning and implementing new ideas in a start-up environment.


Follow us at - https://www.linkedin.com/company/altagrove


What you will do:


  • Design, develop, deploy, and maintain AI-enabled analytics solutions supporting operational and strategic mission objectives.
  • Build and optimize enterprise data pipelines, ingestion frameworks, transformation workflows, and integration services supporting analytics and AI platforms.
  • Develop machine learning models, predictive analytics capabilities, and decision-support solutions using structured and unstructured data.
  • Design and implement Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG) architectures, vector databases, and AI-enabled knowledge management capabilities.
  • Develop scalable data architectures, metadata enrichment pipelines, indexing services, and retrieval systems supporting enterprise knowledge exploitation.
  • Collaborate with mission stakeholders, engineers, and technical teams to identify high-value AI and data-driven use cases.
  • Conduct data exploration, feature engineering, model training, validation, testing, and performance optimization activities.
  • Design and implement ETL/ELT processes supporting operational, analytical, and machine learning workloads.
  • Develop dashboards, visualizations, reports, and analytical products that communicate insights to technical and non-technical stakeholders.
  • Support cloud-native and hybrid data environments leveraging AWS, Azure, Kubernetes, and modern data engineering technologies.
  • Implement data quality controls, monitoring solutions, security controls, and governance practices across enterprise data environments.
  • Work closely with Cloud Engineers, DevSecOps Engineers, and Software Developers to support end-to-end solution delivery.
  • Research emerging AI, machine learning, and data engineering technologies and recommend innovative applications for customer missions.
  • Support technical documentation, architecture development, operational procedures, training materials, and knowledge transfer activities.


What you will bring:


  • Experience developing and deploying advanced analytics, machine learning, artificial intelligence, or enterprise data engineering solutions within government, defense, intelligence, or highly regulated environments.
  • Strong proficiency in Python and experience with modern data science and engineering frameworks.
  • Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or similar technologies.
  • Experience designing and maintaining enterprise data pipelines, ETL/ELT workflows, and data integration architectures.
  • Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), vector databases, embeddings, and prompt engineering concepts.
  • Experience working with SQL, NoSQL, data lakes, data warehouses, and cloud-native data platforms.
  • Experience with AWS, Azure, Google Cloud, or hybrid cloud environments.
  • Understanding of data governance, metadata management, data quality, security, and compliance principles.
  • Experience with containerization technologies, Kubernetes, DevSecOps practices, and Infrastructure-as-Code is highly desirable.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to collaborate effectively across multidisciplinary engineering and mission teams.
  • Experience supporting NATO, DoD, Intelligence Community, or other national security organizations is highly desired.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Data Engineering, Mathematics, Statistics, Engineering, Information Systems, or a related discipline.
  • Active Secret Clearance required; TS/SCI or NATO Secret preferred.
  • Exceptional attention to detail and organizational skills.