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Data Science Engineer Jobs in Washington (NOW HIRING)

Vantor

Data Scientist

Reston, VA · On-site

... science and data engineering workflows, from data preparation and feature engineering through model development and results delivery, with guidance from senior team members as needed. • Write clear ...

ECS

Data Scientist

Springfield, VA · On-site

A Bachelor's Degree in Data Science, Math, Finance, Statistics, Information Management, Computer Science, Engineering, Economics or an equivalent field * 5+ years of working experience in one of the ...

Vantor

Data Scientist

Reston, VA · On-site

... science and data engineering workflows, from data preparation and feature engineering through model development and results delivery, with guidance from senior team members as needed. • Write clear ...

Varsity Tutors

Data Science Tutor

Washington, DC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Bowie, MD · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Leesburg, VA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

College Park, MD · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Alexandria, VA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Fairfax, VA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Sphinx LLC

Data Scientist

Quantico, VA · Remote

$150K - $225K/yr

Must have at least 5+ years of experience performing data analytics and data engineering using a various tools such as Tableau or Power BI, while also be experienced using data science languages such ...

MORSE Corp

Lead Data Scientist (TS/SCI)

Arlington, VA · On-site

D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field * 7+ years of experience in Data Science, Artificial Intelligence ...

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Data Science Engineer information

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$50.4K

$146.9K

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How much do data science engineer jobs pay per year?

As of Jun 30, 2026, the average yearly pay for data science engineer in Washington is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

Is AI replacing data scientists?

AI is transforming the role of data science engineers by automating routine tasks and enabling more advanced analysis, but it does not replace the need for skilled professionals who interpret data, develop models, and ensure ethical use. Data scientists and data science engineers are increasingly working alongside AI tools to enhance decision-making and innovation. The demand for expertise in programming, statistical analysis, and machine learning remains strong in the industry.

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 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.

Is 40 too late for data science?

Data Science Engineers can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this principle to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

What is a Data Science Engineer job?

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 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 the most commonly searched types of Data Science Engineer jobs in Washington? The most popular types of Data Science Engineer jobs in Washington are:
What are popular job titles related to Data Science Engineer jobs in Washington? For Data Science Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science Engineer jobs in Washington look for? The top searched job categories for Data Science Engineer jobs in Washington are:
What cities in Washington are hiring for Data Science Engineer jobs? Cities in Washington with the most Data Science Engineer job openings:
Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Washington as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.
Senior Data Scientist/Engineer

Senior Data Scientist/Engineer

Agile Defense

Chantilly, VA • On-site

Full-time

Posted 24 days ago

Key responsibilities

  • Lead the end-to-end development of NLP and entity-extraction models tailored for cyber data.

  • Prototype and integrate generative AI solutions to automate insight generation.

  • Assist with data-engineering tasks, including parsing raw logs and preparing feature sets.

Job description

Job Summary:
Agile Defense is a company focused on adaptive innovation to support national missions through advanced technologies. The Senior Data Scientist/Engineer will design, develop, and deploy data-science models while collaborating with cross-functional teams to enhance analytics capabilities in a classified environment.
Responsibilities:
• Lead the end-to-end development of NLP and entity-extraction models tailored for cyber data.
• Prototype and integrate generative AI solutions to automate insight generation.
• Assist with data-engineering tasks, including parsing raw logs and preparing feature sets.
• Collaborate with cyber SMEs to define data-quality standards and validation criteria.
• Translate user stories and requirements into technical specifications and test plans.
• Implement, document, and maintain Python code for reproducible data-science workflows.
• Conduct model performance evaluations and iterate to improve accuracy and scalability.
• Present findings and demos to stakeholders, incorporating feedback into subsequent sprints.
Qualifications:
Required:
• Active U.S. security clearance at TS/SCI with Full Scope Poly
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• 4–8 years of hands-on data-science experience, including algorithm development and model deployment in production environments.
• Strong proficiency in Python and its data-science ecosystem (pandas, scikit-learn, PyTorch/TensorFlow).
• Expertise in NLP techniques (e.g., tokenization, named-entity recognition, embedding models).
• Proven ability to implement entity-extraction pipelines.
• Familiarity with generative AI frameworks and experience with machine learning.
• Experience with data-engineering fundamentals (ETL, data cleansing, feature engineering).
• Exceptional verbal and written communication skills; ability to distill complex concepts for non-technical audiences.
• Demonstrated experience working with cyber or security-related datasets.
Preferred:
• Experience with big-data platforms (Spark, Hadoop) and stream processing (Kafka).
• Familiarity with cloud-based intelligence-community environments (AWS GovCloud, Azure Government).
• Knowledge of containerization (Docker) and orchestration (Kubernetes).
• Hands-on experience with data-visualization tools (e.g., Plotly, D3.js).
Company:
Agile Defense is an information technology company located in Reston. It is a sub-organization of Agile-BOT. Founded in 1998, the company is headquartered in Reston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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