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Data Science Engineer Jobs in Washington, DC (NOW HIRING)

Peraton

Data Science Specialist

Mclean, VA · On-site

$146K - $234K/yr

The Data Science Specialist will leverage technical expertise in software engineering, data analysis, data integration, and data modeling to develop innovative analytic capabilities supporting ...

Peraton

Data Science Specialist

Mclean, VA

$146K - $234K/yr

The Data Science Specialist will leverage technical expertise in software engineering, data analysis, data integration, and data modeling to develop innovative analytic capabilities supporting ...

Peraton

Data Science Specialist

Mclean, VA · On-site

$146K - $234K/yr

The Data Science Specialist will leverage technical expertise in software engineering, data analysis, data integration, and data modeling to develop innovative analytic capabilities supporting ...

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Showing results 21-40

All JobsData Science Engineer JobsData Science Engineer Jobs in Washington, DC

Data Science Engineer information

See Washington, DC salary details

$50.3K

$146.5K

$200.4K

How much do data science engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data science engineer in Washington, DC is $146,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,300.00 and $155,300.00 per year, depending on experience, location, and employer.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.

What are popular job titles related to Data Science Engineer jobs in Washington, DC?

For Data Science Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Data Science Engineer jobs in Washington, DC look for?

The top searched job categories for Data Science Engineer jobs in Washington, DC are:

Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $146,477 per year, or $70.4 per hour.

AI and Data Science Engineer (TS/SCI Poly)

Deloitte

Mclean, VA • On-site

$115K - $139K/yr

Full-time

Re-posted 10 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services

Job description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

  Drive the design, development, and deployment of AI and data science solutions that help government and public sector clients modernize operations, improve decision-making, and deliver mission outcomes. In this role, you will work across data, analytics, and machine learning initiatives to translate business needs into scalable technical solutions. You will collaborate with cross-functional teams to build production-ready models, data pipelines, and analytical products that support client priorities.

Work you'll do

As an AI and Data Science Engineer III on the Government and Public Services AI & Data team, you will be responsible for...

  • Designing, developing, and deploying machine learning, artificial intelligence, and advanced analytics solutions for government and public sector clients
  • Building, testing, and maintaining data pipelines, models, and analytical workflows that support scalable and reliable delivery
  • Translating business and mission requirements into technical designs, prototypes, and production-ready solutions
  • Collaborating with engineers, data scientists, product teams, and client stakeholders to implement data-driven capabilities
  • Supporting solution optimization, model performance monitoring, documentation, and continuous improvement activities

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Active TS/SCI Polygraph security clearance required
  • 4+ years of experience developing and deploying machine learning, artificial intelligence, or advanced analytics solutions
  • 3+ years of experience using Python and Structured Query Language (SQL) for data analysis, model development, or data engineering
  • 2+ years of experience working with cloud platforms, data pipelines, or model deployment environments
  • Experience using machine learning frameworks or libraries such as scikit-learn, TensorFlow, or PyTorch
  • Ability to travel 10-20%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field
  • Experience supporting federal, state, or local government clients
  • Experience with Extract, Transform, Load (ETL) processes, application programming interfaces (APIs), or data integration tools
  • Experience with model monitoring, MLOps, or production support processes
  • Experience using Git, CI/CD pipelines, or containerization tools
  • Experience creating dashboards, reporting solutions, or analytical products for business users
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $131,000 to $218,300.  

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 


#CJ1 
#LI-MW5
#DSJ

Qualifications:

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

  Drive the design, development, and deployment of AI and data science solutions that help government and public sector clients modernize operations, improve decision-making, and deliver mission outcomes. In this role, you will work across data, analytics, and machine learning initiatives to translate business needs into scalable technical solutions. You will collaborate with cross-functional teams to build production-ready models, data pipelines, and analytical products that support client priorities.

Work you'll do

As an AI and Data Science Engineer III on the Government and Public Services AI & Data team, you will be responsible for...

  • Designing, developing, and deploying machine learning, artificial intelligence, and advanced analytics solutions for government and public sector clients
  • Building, testing, and maintaining data pipelines, models, and analytical workflows that support scalable and reliable delivery
  • Translating business and mission requirements into technical designs, prototypes, and production-ready solutions
  • Collaborating with engineers, data scientists, product teams, and client stakeholders to implement data-driven capabilities
  • Supporting solution optimization, model performance monitoring, documentation, and continuous improvement activities

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Active TS/SCI Polygraph security clearance required
  • 4+ years of experience developing and deploying machine learning, artificial intelligence, or advanced analytics solutions
  • 3+ years of experience using Python and Structured Query Language (SQL) for data analysis, model development, or data engineering
  • 2+ years of experience working with cloud platforms, data pipelines, or model deployment environments
  • Experience using machine learning frameworks or libraries such as scikit-learn, TensorFlow, or PyTorch
  • Ability to travel 10-20%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field
  • Experience supporting federal, state, or local government clients
  • Experience with Extract, Transform, Load (ETL) processes, application programming interfaces (APIs), or data integration tools
  • Experience with model monitoring, MLOps, or production support processes
  • Experience using Git, CI/CD pipelines, or containerization tools
  • Experience creating dashboards, reporting solutions, or analytical products for business users
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $131,000 to $218,300.  

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 


#CJ1 
#LI-MW5
#DSJ

Education:Bachelor's DegreeEmployment Type:

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