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Data Science Law Jobs in Virginia (NOW HIRING)

Senior Manager, Data Science

Richmond, VA · On-site

$138K - $221K/yr

Apply advanced data science techniques across the full model lifecycle: * Design, training ... Benefits: Except as otherwise required by state law, CarMax Associates are entitled to the ...

Apply advanced data science techniques across the full model lifecycle: * Design, training ... Benefits: Except as otherwise required by state law, CarMax Associates are entitled to the ...

Experience in a professional services or law firm is preferred. Must be adept in agile methodologies and well-versed in machine learning, artificial intelligence and constructing data science ...

Experience in a professional services or law firm is preferred. Must be adept in agile methodologies and well-versed in machine learning, artificial intelligence and constructing data science ...

Bachelor of Science degree in a relevant field (statistics, business, computer science, economics ... Analyzing events across government, financial industries, law enforcement, and other similar data ...

Manage data science projects from conception through deployment, ensuring timely and high-quality ... Familiarity with federal law enforcement (LE) systems or prior experience in LE environments Work ...

If you are passionate about the chance to put your Data Science skills to practice in support of Federal Law Enforcement, then we are looking for you! About the Role TRSS Data Scientist candidates ...

If you are passionate about the chance to put your Data Science skills to practice in support of Federal Law Enforcement, then we are looking for you! About the Role TRSS Data Scientist candidates ...

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Showing results 1-20

Data Science Law information

See Virginia salary details

$37.2K

$121.7K

$194.8K

How much do data science law jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data science law in Virginia is $121,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,800.00 per year, depending on experience, location, and employer.

What is a data science law?

A Data Science Law job involves applying data science techniques to legal processes, compliance, and regulatory issues. Professionals in this field analyze legal data, develop predictive models for case outcomes, and ensure data-driven decision-making in legal practice. They may work on topics like algorithmic bias, privacy regulations, and AI governance. This role requires expertise in both legal principles and data science methodologies.

What are the typical responsibilities of a data science law professional?

Data Science Law professionals often analyze large datasets to uncover legal risks, support litigation, or advise on regulatory compliance involving data-driven matters. Their daily tasks may include developing models to identify trends impacting legal strategy, coordinating with legal and IT teams on data governance, and interpreting relevant laws around data usage or privacy. Collaboration is key, as these professionals frequently work cross-functionally to create policies or provide guidance on emerging technologies such as AI. The role provides a unique blend of analytical and legal challenges, offering substantial opportunities for career growth in sectors like compliance, privacy, and tech law.

What are the key skills and qualifications needed to thrive in data science law?

To thrive in Data Science Law, you need a solid background in both law (J.D. or equivalent) and quantitative analysis, with experience in data analytics as it pertains to legal contexts. Familiarity with programming languages such as Python or R, legal research databases, and certifications in data privacy or compliance are highly valued. Exceptional analytical thinking, written communication, and the ability to bridge technical and legal concepts are crucial soft skills. These competencies enable professionals to interpret complex data-driven legal issues, ensure compliance, and inform policy or regulatory decision-making.

What are the most commonly searched types of Data Science Law jobs in Virginia?

The most popular types of Data Science Law jobs in Virginia are:

Infographic showing various Data Science Law job openings in Virginia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $121,686 per year, or $58.5 per hour.

Data Scientist III

Chantilly, VA

Smart Data
IT Services • 51 - 200 employees

$135K - $180K/yr

Full-time

Posted 16 days ago


Key responsibilities

  • Collect, organize, and analyze technical information from multiple sources to support mission objectives and quick-turn tasks.

  • Design and implement machine learning and data engineering techniques applied to advanced S&T missions.

  • Propose, develop, and execute creative data science solutions, including new data sources and data exploitation techniques.


Job description

Data Scientist III


Chantilly, VA (on-site at client facility)


Full-Time, Long-Term Contract (1-Year Assignment, Temp-to-Perm Possible)


Clearance Required: Active TS/SCI with Polygraph (Required — must be a U.S. Citizen)


Job Summary


We are seeking a Data Scientist III to support a mission-critical program in the Chantilly, VA area. This role focuses on applying data science, machine learning, and data engineering techniques to advanced science and technology (S&T) mission challenges. The ideal candidate is technically curious, comfortable working across diverse and multi-source data, and skilled at turning complex data into actionable insight.


Responsibilities


- Collect, organize, and analyze technical information from multiple sources to drive mission objectives and quick-turn tasks in fast-paced environments

- Aid in the design and implementation of machine learning and data engineering techniques applied to advanced S&T missions

- Apply technical proficiency in data collection and analysis tools to S&T mission areas, improving existing techniques and devising new ones to solve mission-critical data science challenges

- Collaborate in a multi-disciplinary environment while working independently and leading tasks on time and on budget

- Independently propose, develop, and execute creative solutions to unique data science problems, including suggestions for new data sources and data exploitation techniques

- Deliver thorough, polished work products requiring only minor revision

- Proactively manage expectations and meet deadlines in a fast-moving, agile environment

- Maintain excellent communication with both co-located and geographically dispersed team members


Required Qualifications


- Experience using tools for collecting, assembling, interpreting, translating, and analyzing multi-source data (S&T information, network, open source, databases) and synthesizing it into actionable intelligence

- Experience applying machine learning, statistics, and/or data mining techniques to gain insights from data

- Experience automating data pipelining processes, data transformation, databases, and/or repositories

- Experience assessing and technically reporting on technologies and scientific topics (e.g., Technology Readiness Levels (TRL) and Critical Technology Elements (CTE))

- Experience working with diverse media and advanced S&T data

- BS with 8+ years of relevant experience; MS with 5+ years of relevant experience; PhD in a relevant field with 3+ years of experience; or an equivalent combination of education and experience in a relevant field

- Genuine excitement for learning new technical subject areas and curiosity about S&T missions

- Experience supporting national security, defense, and/or intelligence community missions

- Must be a U.S. Citizen with an active TS/SCI clearance with polygraph (non-negotiable)


Additional Details


- Assignment Length: 1 year (temp-to-perm possible)

- Schedule: Standard hours (40/week)

- Work Location: On-site required

- Interview Process: Video interview with hiring manager and technical team

- Relocation Candidates: Will consider hiring via video interview for non-local candidates willing to relocate

- Target Start Date: 09/01/2026


Smart Data Systems is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, or any other protected characteristic under applicable federal, state, or local law.