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Statistics Government Jobs (NOW HIRING)

Think Tank, Inc.

Statistician

Seattle, WA · On-site

Knowledge and experience in Bayesian statistics and mark-recapture methods is strongly preferred ... Government-required training to be completed within 5 business days of start: NOAA IT Security, ...

US Army Civilian Human Resources Agency

$63K - $121K/yr

... economics, statistics, government, international affairs/relations, education, and administration/management of any sort (health care admin, etc.). OR Superior Academic Achievement: Successful ...

Think Tank, Inc.

Statistician

Seattle, WA · On-site

Knowledge and experience in Bayesian statistics and mark-recapture methods is strongly preferred ... Government -required training to be completed within 5 business days of start: NOAA IT Security, ...

OBAN Corporation

Statistician

Vienna, VA · On-site

Statistician Disclaimer: This position is being recruited in support of potential future contract ... This position requires candidates to obtain and maintain the required government security ...

OBAN Corporation

Statistician

Vienna, VA

Statistician Disclaimer: This position is being recruited in support of potential future contract ... This position requires candidates to obtain and maintain the required government security ...

TechData Service Company LLC

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RWE/RWD Statistical Analyst(Remote)

Princeton, NJ · Remote

$90K - $165K/yr

GE Healthcare) * US government public use databases (e.g. NHANES, MEPS) * Ph.D. in Statistics, epidemiology or related field, or MS with Minimum 2-year experience in pharmaceutical industry; Strong R ...

Camarena Health

Medical Government Biller

Madera, CA · On-site

$21 - $24/hr

... statistical reports that include number of patient charges, payments, adjustments, and log 2.2. ... Medical Government Biller respects and protects information regarding patients and other team ...

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Showing results 21-40

All JobsStatistics Government Jobs

Statistics Government information

See salary details

$40.5K

$83.7K

$117K

How much do statistics government jobs pay per year?

As of Aug 11, 2026, the average yearly pay for statistics government in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What does a Statistics Government do?

Statisticians in government collect, analyze, and interpret data to inform public policy, decision-making, and resource allocation. They design surveys and experiments, process large datasets, and prepare reports that help government agencies understand trends in areas like health, economics, education, and the environment. Their work is crucial for creating evidence-based policies and ensuring the effective use of public funds. Additionally, they help maintain the accuracy and reliability of official statistics released to the public.

What jobs can I get with statistics?

With a background in statistics, you can pursue roles such as data analyst, statistician, data scientist, research analyst, or actuarial analyst. These jobs typically require skills in statistical software, data interpretation, and analytical thinking, and may involve working in industries like healthcare, finance, government, or technology.

What are the key skills and qualifications needed to thrive as a Statistics Government, and why are they important?

To thrive as a Government Statistician, you need strong analytical skills, a solid grounding in statistics or mathematics, and typically a relevant degree such as in statistics, mathematics, or economics. Familiarity with statistical software (like R, SAS, or SPSS), data visualization tools, and government data management systems is essential. Effective communication, attention to detail, and problem-solving abilities help translate complex data into actionable policy insights. These skills are vital for ensuring accurate data analysis and supporting evidence-based decision-making in the public sector.

What is the difference between Statistics Government vs Data Analyst?

AspectStatistics GovernmentData Analyst
Required CredentialsBachelor's or higher in Statistics, Mathematics, or related fields; often government-specific certificationsBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Excel, SQL often preferred
Work EnvironmentGovernment agencies, public sector offices, research institutionsPrivate companies, consulting firms, or government departments; office settings
Employer & Industry UsagePrimarily government agencies, public policy, researchBusiness analytics, marketing, finance, healthcare

Statistics Government and Data Analyst roles share skills in data interpretation and analysis but differ mainly in work environment and focus. Statistics Government professionals often work in public sector research and policy, while Data Analysts are more common in private sector business intelligence. Both roles require strong analytical skills, but their applications and employer types vary.

How does a Statistics Government role typically collaborate with other departments or agencies?

In a Statistics Government position, professionals often work closely with other departments, such as health, education, or labor, to collect, analyze, and interpret data relevant to public policies and programs. Collaboration may involve joint research projects, data sharing agreements, and regular interdepartmental meetings to ensure accuracy and consistency in statistical reporting. This teamwork is essential for developing comprehensive datasets that inform policy decisions and for upholding data integrity across government entities.
More about Statistics Government jobs
What states have the most Statistics Government jobs? States with the most job openings for Statistics Government jobs include:
What job categories do people searching Statistics Government jobs look for? The top searched job categories for Statistics Government jobs are:
Statistics Government jobs near you
Infographic showing various Statistics Government job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.

Data Engineer - Classical Statistics & Machine Learning

BLN24

Mclean, VA • On-site

Full-time

Medical, Dental, Vision

Re-posted 11 days ago

Job description

Job Title: Data Engineer
Company: BLN24
About Us: We find strength in teamwork-a better you is a better us
BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client’s end-state, and then seamlessly integrating within each Agency’s organization to improve and enhance strategic and technical operations and deployments.
Position Overview:
BLN24 is seeking a mid-level Data Engineer to support a large-scale data and analytics platform modernization effort for a federal statistical agency client. This is a hybrid role: data engineering (building and maintaining the pipelines that bring data into the platform) and applied data science (using classical statistics and machine learning to analyze that data once it’s available).
The ideal candidate is equally comfortable writing production-grade ingestion and
transformation code as they are designing and validating a statistical or ML model.
This role works closely with SMEs across multiple program areas to understand source data, build reliable ETL/ingestion pipelines, and apply analytical methods — anomaly detection, statistical modeling, and machine learning — to support operational decision-making.
Key Responsibilities:
Data Engineering
  • Design, build, and maintain ETL/ELT pipelines to ingest data from multiple source systems into the platform’s central data store
  • Develop and maintain data ingestion workflows for both batch and near-real-time sources
  • Implement data validation, cleaning, and transformation logic to ensure data quality and consistency across pipelines
  • Work within a modern lakehouse/cloud data architecture, optimizing pipeline performance and reliability
  • Build and maintain data models and schemas that support downstream analytics and reporting needs
  • Monitor pipeline health, troubleshoot failures, and implement logging/alerting for data quality issues
  • Document data lineage, transformation logic, and pipeline architecture for governance and reproducibility
Data Science / Statistics & ML
  • Apply classical statistical methods (hypothesis testing, regression, time-series analysis, distributional comparisons) to identify trends, anomalies, and outliers in operational data
  • Design and implement benchmarking approaches that compare production data against historical, modeled, or external reference values
  • Develop and evaluate machine learning models where appropriate, balancing predictive performance with interpretability for non-technical stakeholders
  • Investigate flagged anomalies by digging into underlying data to identify root causes and contributing factors
  • Work with SMEs to translate operational questions into analytical approaches, and clearly communicate statistical/ML findings and their limitations
  • Account for data sensitivity classifications and governance requirements when designing analyses and models
  • Collaborate with visualization-focused team members to ensure outputs of statistical/ML work are presented clearly to stakeholders

Required Qualifications:
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or related field (or equivalent experience)
  • 3–5 years of experience spanning both data engineering and data science/statistical analysis
  • Strong proficiency in Python, including experience with data engineering libraries (e.g., pandas, PySpark) and statistical/ML libraries (e.g., scikit-learn, statsmodels)
  • Hands-on experience building and maintaining ETL/ELT pipelines, including ingestion, transformation, and validation logic
  • Solid grounding in classical statistical methods (hypothesis testing, regression, distributional analysis) and practical machine learning techniques
  • Experience working with SQL and relational/distributed data systems
  • Ability to work within a federal data environment, including familiarity with data sensitivity tiers and access/disclosure constraints
  • Strong communication skills, with the ability to explain technical/statistical concepts to non-technical stakeholders

Preferred Qualifications:
  • Prior experience supporting federal statistical agencies or other federal data programs
  • Familiarity with Databricks or modern lakehouse architectures (Spark, Delta Lake, etc.)
  • Experience with workflow orchestration tools (e.g., Airflow, Databricks Workflows)
  • Experience designing anomaly-detection or outlier-detection approaches beyond standard threshold-based methods
  • Exposure to disclosure avoidance concepts or working with regulated/protected government data
  • Experience working across multiple coding environments (Python, R, SAS) within the same analytics platform
  • Background in requirements gathering or systems design for enterprise data platforms

Work Environment:
  • Contract position supporting a federal agency data modernization engagement
  • Collaborative, cross-functional environment working alongside data engineers, data scientists, architects, and program SMEs
  • Requires U.S. citizenship and ability to obtain a public trust or other clearance/suitability determination typical of federal contractor engagements

What BLN24 brings to the Game:
BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of — physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.
  • You can join one of the fastest growing companies headquartered in the Washington DC Metro Area.  We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability.
  • Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home.
BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key 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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
 

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