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Data Science Government Jobs (NOW HIRING)

Job Summary Senior-most technical position responsible for leading the design, development, deployment, and optimization of advanced data science solutions in support of government mission objectives.

... state government while obtaining valuable on-the-job training. As a data science intern ... responsibilities may include the following: * Leverage tools to interpret data sets; paying ...

... state government while obtaining valuable on-the-job training. As a data science intern ... responsibilities may include the following: * Leverage tools to interpret data sets; paying ...

... state government while obtaining valuable on-the-job training. As a data science intern ... responsibilities may include the following: * Leverage tools to interpret data sets; paying ...

... state government while obtaining valuable on-the-job training. As a data science intern ... responsibilities may include the following: * Leverage tools to interpret data sets; paying ...

... state government while obtaining valuable on-the-job training. As a data science intern ... responsibilities may include the following: * Leverage tools to interpret data sets; paying ...

... state government while obtaining valuable on-the-job training. As a data science intern ... responsibilities may include the following: * Leverage tools to interpret data sets; paying ...

... state government while obtaining valuable on-the-job training. As a data science intern ... responsibilities may include the following: * Leverage tools to interpret data sets; paying ...

... state government while obtaining valuable on-the-job training. As a data science intern ... responsibilities may include the following: * Leverage tools to interpret data sets; paying ...

... state government while obtaining valuable on-the-job training. As a data science intern ... responsibilities may include the following: * Leverage tools to interpret data sets; paying ...

... state government while obtaining valuable on-the-job training. As a data science intern ... responsibilities may include the following: * Leverage tools to interpret data sets; paying ...

... state government while obtaining valuable on-the-job training. As a data science intern ... responsibilities may include the following: * Leverage tools to interpret data sets; paying ...

... state government while obtaining valuable on-the-job training. As a data science intern ... responsibilities may include the following: * Leverage tools to interpret data sets; paying ...

... state government while obtaining valuable on-the-job training. As a data science intern ... responsibilities may include the following: * Leverage tools to interpret data sets; paying ...

... state government while obtaining valuable on-the-job training. As a data science intern ... responsibilities may include the following: * Leverage tools to interpret data sets; paying ...

... state government while obtaining valuable on-the-job training. As a data science intern ... responsibilities may include the following: * Leverage tools to interpret data sets; paying ...

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How much do data science government jobs pay per year?

As of Jun 18, 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.

Does the CIA hire data scientists?

Yes, the CIA hires data scientists to analyze intelligence data, develop algorithms, and support national security efforts. Candidates typically need strong skills in data analysis, programming, and security clearances, often requiring a background in computer science, statistics, or related fields.

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.

What do data scientists do in government?

Data scientists in government analyze large datasets to inform policy decisions, improve public services, and support operational efficiency. They develop models, use statistical tools, and often work with programming languages like Python or R to extract insights from data. Their work helps agencies make data-driven decisions and address societal challenges.

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, and why are they important?

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.

Does the FBI hire data scientists?

Yes, the FBI employs data scientists to analyze large datasets, develop predictive models, and support national security and criminal investigations. Candidates typically need a background in data analysis, programming skills in languages like Python or R, and security clearances. These roles often require a bachelor's or higher degree in a related field such as computer science, statistics, or mathematics.

How much do FBI data scientists make?

FBI data scientists typically earn between $80,000 and $130,000 annually, depending on experience, education, and location. They often require strong skills in data analysis, programming, and security protocols, with some positions offering additional benefits and clearance allowances.
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What states have the most Data Science Government jobs? States with the most job openings for Data Science Government jobs include:
Director, Data Science and Analytics

Director, Data Science and Analytics

The Weather Channel

Andover, MA

Full-time

Posted 27 days ago


Job description

Company Description

At WSI, weather means business. We are the world's leading provider of weather-driven business solutions that enable enterprises to make better decisions using the most accurate, precise and resolute weather data available. We serve some of the world's biggest brands in the aviation, energy, insurance, and media markets, plus multiple federal and state government agencies.

Based on growth and expansion in analytics we are searching for a leader to build WSI's capabilities in the data sciences, working closely with leaders across the company to build a variety of models, recommenders, and algorithms used by WSI customers to make critical weather related business decisions. You'll connect with stakeholders across multiple verticals (Aviation, Energy, Retail, Insurance, Logistics) identifying opportunities to extract value from datasets and solve focused analytical problems. We are a community of engineers, data scientists, and statisticians, and are looking to add to our growing team. Weather is one of the largest global datasets. We produce Petabytes a year of weather information. Every day our customers make critical decisions based on the weather.

OUR IDEAL CANDIDATE:

  • Has considerable and highly relevant experience in data sciences and technology management - putting predictive models into production for B2B clientele, and building and managing a best in class data sciences group
  • Is excited about extremely large datasets and using them to add value to society
  • Relishes devising and executing strategies and roadmaps and getting buy-in from stakeholders and senior leadership
  • Is very comfortable interfacing with senior level clients to evangelize our solutions
Job Description
  • Explore big data to surface Insights to inform major product and business decisions
  • Perform Statistical Natural Language Processing to mine unstructured data, using methods such as document clustering, topic analysis, named entity recognition and sentiment analysis
  • Analyze and model structured data using advanced statistical methods
  • Process data in large-scale environments
  • Attract, select, develop, motivate, train and retain a team of high performing data science professionals
  • Interface with multiple business units to help us grow analytics as a competitive business advantage and as a center of excellence within the business
  • Select and manage relationship with outsourced analytics provider to augment staff as needed from time to time
  • Manage day-to-day operations, including staffing, scheduling, and prioritization of engagements
  • Lead the definition of processes and procedures to enable the team execute efficiently and the product ingest data optimally
  • Identify data partners, both internal and external, to gather the data to build the best in class data solutions
  • Provide sales support and enable the team sell bigger and better and provide metrics to justify the customer spend
  • Be an evangelist and market the solution by promoting the value of the product from a data perspective using white papers, presentations, etc.
  • Build a performance driven culture with a strong foundation of intellectual curiosity
Qualifications
  • Masters degree applied statistics, mathematics, econometrics, or other discipline related to Time-Series Analysis, Machine Learning, or Forecasting, or its equivalent
  • 10 years of relevant experience in data sciences and technology management, to include deploying predictive models into production
  • Knowledge, Skills and Abilities
  • Demonstrated ability to work with clients, products, and services across multiple industries
  • Demonstrated performance in managing big data projects such as - MapReduce, Hadoop, HPCC
  • Demonstrated proficiency in growing and managing a data sciences team
  • Proficiency in managing in an Agile environment.
  • Strong organizational, analytical, and problem-solving skills


Additional Information

All your information will be kept confidential according to EEO guidelines.