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Federal Government Data Scientist Jobs (NOW HIRING)

Stock Group Analytics

Data Scientist

Washington, DC · On-site

Experience in federal government data science programs * Knowledge of Responsible AI principles and model governance * Experience with Azure Machine Learning and Azure Synapse Analytics

Stock Group Analytics

Experience in federal government data science programs * Knowledge of Responsible AI principles and model governance * Experience with Azure Machine Learning and Azure Synapse Analytics

Weeghman & Briggs LLC

Data Scientist L3

San Antonio, TX · On-site

$138K - $153K/yr

Data Scientist L3 Location: San Antonio, Texas Clearance Required: TS/SCI with Polygraph Employment ... Experience supporting the Federal Government * Agile, cloud, or modernization experience

Weeghman and Briggs

Data Scientist L3

San Antonio, TX

$138K - $153K/yr

Data Scientist L3 Location: San Antonio, Texas Clearance Required: TS/SCI with Polygraph Employment ... Experience supporting the Federal Government * Agile, cloud, or modernization experience

Makpar

Data Scientist

Washington, DC · On-site

Makpar is a comprehensive professional and technical solutions provider for the Federal government ... The Data Scientist will support enterprise data and analytics initiatives for a federal client ...

Accenture Federal Services

Data Scientist

Annapolis, MD · On-site

$120K - $220K/yr

At Accenture Federal Services, nothing matters more than helping the US federal government make the ... AFS is looking for a Data Scientist to support our nation's most critical missions. If you love ...

Accenture Federal Services

Data Scientist

Annapolis, MD

$120K - $220K/yr

At Accenture Federal Services, nothing matters more than helping the US federal government make the ... AFS is looking for a Data Scientist to support our nation's most critical missions. If you love ...

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Federal Government Data Scientist information

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How much do federal government data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for federal government data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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Federal Government Data Scientist jobs near you
Infographic showing various Federal Government Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Washington, DC • On-site

Stock Group Analytics
IT Services • 1 - 10 employees
Learn more about Stock Group Analyticsexternal

Other

Posted 12 days ago

Job description

Position Summary

The Data Scientist is responsible for applying advanced statistical and machine learning techniques to Government’s data to generate predictive insights, develop forecasting models, and support data-driven decision-making. This role works closely with AI Engineers and Data Analysts to integrate predictive capabilities into dashboards and operational systems.

Key Responsibilities
  • Build and deploy predictive models for operations (e.g., predictive maintenance, demand forecasting, anomaly detection)
  • Perform statistical analysis and trend forecasting on historical data
  • Develop machine learning models trained on Government's data for specific use cases
  • Integrate predictive analytics into Power BI dashboards and operational systems
  • Design and implement AI-assisted data quality checks including ML-based anomaly detection
  • Conduct exploratory data analysis to identify patterns and insights
  • Evaluate model performance and implement continuous improvement processes
  • Collaborate with Data Engineers on data pipeline requirements for ML workflows
  • Document model methodologies, assumptions, and performance metrics
  • Present findings and recommendations to technical and non-technical stakeholders
  • Support AI Governance Board with model performance reporting and bias assessments
Required Qualifications
  • Education: Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field (Master's with extensive experience considered)
  • Experience: 7+ years of experience building and deploying predictive models in production environments
  • Technical Skills:
    • Expert proficiency in Python and/or R for data science
    • Strong knowledge of machine learning algorithms and statistical techniques
    • Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch)
    • Proficiency in SQL and database querying
    • Experience with cloud data platforms (Azure ML, AWS, GCP)
    • Knowledge of time series forecasting and anomaly detection techniques
    • Familiarity with data visualization tools (Power BI, Tableau)
Preferred Qualifications
  • Domain knowledge in manufacturing analytics, quality control, or production operations
  • Experience in federal government data science programs
  • Knowledge of Responsible AI principles and model governance
  • Experience with Azure Machine Learning and Azure Synapse Analytics
  • Publications or demonstrated expertise in applied machine learning
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