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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 Missouri?

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

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

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

What cities in Missouri are hiring for Data Science Government jobs?

Cities in Missouri with the most Data Science Government job openings:

Data Science Government jobs near you
Infographic showing various Data Science Government job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Scientist - Mid Level active TS/SCI

Via Logic LLC

Saint Louis, MO • On-site

$90 - $130/hr

Other

Posted 22 days ago

Job description

Leidos is actively seeking a Data Scientist to join our growing team in St. Louis, MO. This role requires a basic understanding of GEOINT integration work and experiences as a Data Scientist for NGA, encompassing collection, exploitation, analysis, and product delivery capabilities.

Primary Responsibilities
  • Provide data management and automation support to a specialized imagery and geospatial analysis division within a government or enterprise organization.
  • Assist with developing a modernized data management workflow supporting multiple organizational programs.
  • Collaborate with senior data scientists, database developers, and analysts to implement and sustain updated database processes and workflows.
  • Research and document existing data management practices, procedures, and system dependencies.
  • Help design improved workflows with automation incorporated from the outset.
  • Ensure new workflows integrate effectively with modern database applications and enterprise-level application programming interfaces.
  • Enhance existing models and simulations involving production, monitoring, and change-detection data.
  • Support additional data management and modernization initiatives as required.
  • Develop code and scripts, including the conversion of legacy applications written in multiple programming languages into Python-based solutions.
  • Implement enterprise database management standards, processes, and controls.
  • Automate repetitive data preparation, validation, transformation, and reporting tasks.
  • Deliver technical solutions that apply industry best practices to modernize existing operational processes.
  • Conduct data investigations using applied statistics, algorithm development, and collaboration with subject‑matter experts.
  • Translate complex analytical findings and operational realities into clear explanations for non‑technical audiences.
  • Create visualizations and dashboards from diverse data sources that are accessible and understandable to non‑technical users.
Basic Qualifications
  • 3-6 years’ experience in programming languages such as Python or R (statistical analysis), data preprocessing, and basic machine learning algorithms.
  • Active TS/SCI with willingness to be approved for a Polygraph.
  • Bachelor’s Degree in a related field (additional years of experience can be considered in lieu of a degree).
  • Working knowledge of ArcGIS, ArcSDE, ArcPro.
  • Familiarity with common data science libraries and frameworks, plus:
    • PostgreSQL, PostGIS, pgAdmin.
    • Application programming interfaces (APIs).
Preferred Qualifications
  • Experience with workflow management systems, such as Flowable.
  • Working knowledge of MapInfo/MapBasic GIS/database software.
  • Experience with data visualization software such as Tableau.
Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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