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Data Science Government Jobs in Dallas, TX (NOW HIRING)

JP Morgan Chase

Data Scientist Associate

Plano, TX · On-site

$55K - $55K/yr

Job Summary As a Data Science Associate in our Merchant Services Cost Insights team, you will play ... government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and ...

KPMG

Manager, Data Engineer - PySpark

Dallas, TX · On-site

KPMG is currently seeking a Manager, Data Science Engineer to join our Consulting practice ... government agencies - federal, state and local, and utilities). * Plan engagement objectives, key ...

Pwc

Payer Healthcare Data Scientist, Manager

Dallas, TX · On-site

$99K - $232K/yr

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... government payer programs and Medicaid - Experience with NLP or unstructured clinical text ...

CYNET SYSTEMS

Data Analytics project Manager

Plano, TX · On-site

$85 - $90/hr

Bachelor's degree in data science, Information Systems, Business Analytics, Computer Science, or ... government agencies, and enterprise organizations across the United States and Canada. We deliver ...

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All JobsData Science Government JobsData Science Government Jobs in Dallas, TX

Data Science Government information

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$45.5K

$163.2K

$240.9K

How much do data science government jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data science government in Dallas, TX is $163,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,100.00 and $168,200.00 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.

What are popular job titles related to Data Science Government jobs in Dallas, TX?

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

What job categories do people searching Data Science Government jobs in Dallas, TX look for?

The top searched job categories for Data Science Government jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Data Science Government jobs?

Cities near Dallas, TX with the most Data Science Government job openings:

Data Science Government jobs near you
Infographic showing various Data Science Government job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $163,241 per year, or $78.5 per hour.

Data Science Architect

Mars Technominds Inc

Dallas, TX • On-site

Other

Posted 6 days ago

Job description

 We are looking for Data Scientist Engineer    @ Dallas, TX – Hybrid on a Contract basis. Please let me know if you would be interested.

 

Role: Data Scientist Engineer  

Location: Dallas, TX

Contract: 12-24 Months

What You Will Do: 

  • Design and develop data visualizations using tools such as PowerBI, Tableau, or similar platforms to communicate insights effectively. 
  • Perform data analysis on large, complex data sets, generating actionable reports and recommendations. 
  • Utilize experience with various databases for data input, report generation, and data management. 
  • Apply machine learning algorithms for data cleaning, exploratory data analysis, and data visualization. 
  • Implement data reduction, feature selection, and feature engineering techniques to provide metrics that support evidence-based decision-making. 
  • Automate processes to enhance efficiency and scalability in handling large datasets. 
  • Collaborate with engineering teams to communicate findings and address technical challenges. 
  • Conduct analysis at all phases of the system lifecycle, including concept, design, modeling, testing, operation, and maintenance. 
  • Interface with stakeholders, including customers, programming management, and senior leadership, to support data-driven strategies. 
Qualifications You Must Have: 
  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) discipline and a minimum of 2 years of prior relevant experience 
  • Python development (numpy, scipy, scikit-image, and scikit-learn) for integration into statistical and/or machine learning applications (beyond academic examples). 
  • Databases management and SQL development. 
  • Experience with software development, including documentation, testing, bug tracking, version control, and MLOps 
  • Active and transferable U.S. government issued DoD Top Secret security clearance is required prior to start date.
Qualifications We Prefer:   
  • Active DoD Top Secret clearance with investigation within five years 
  • Advanced degree in Science, Technology, Engineering or Mathematics (STEM preferred) 
  • Programming languages and tools such as Python, scikit-learn, Jupyter, SQL (Microsoft SQL, MySQL), Tableau, and R. 
  • Model Based Systems Engineering (Cameo Enterprise Architecture (SysML specifically), digital thread concepts, digital engineering, MBSE with DevSecOps). 
  • Diagnoses and resolve RF and system power issues 
  • MATLAB/Simulink, DOORS, DNG, Cameo, Jira, and Confluence

Thanks ,

Seema Kousar

IT Recruiter

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