ZipRecruiter

Log In

1

Data Science Law Jobs in Washington (NOW HIRING)

Capital One

Manager, Data Science

Mclean, VA · On-site

Center 1 (19052), United States of America, McLean, Virginia Manager, Data Science Manager, Data ... Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair ...

Capital One

Manager, Data Science

Mclean, VA · On-site +1

Center 1 (19052), United States of America, McLean, Virginia Manager, Data Science Manager, Data ... Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair ...

Dla-Piper

Data Scientist

Reston, VA · On-site

$113 - $179/hr

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 ...

DLA Piper

Data Scientist

Reston, VA · On-site

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 ...

Dlapiper

Data Scientist

Washington, DC · On-site +1

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 ...

Dlapiper

Data Scientist

Reston, VA · On-site +1

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 ...

Elder Research

Data Scientist

Arlington, VA · On-site

$80 - $100/hr

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 ...

RiVidium, Inc

Data Scientist- Senior

Quantico, VA · On-site

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 ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

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 ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

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 ...

next page

Showing results 1-20

All JobsData Science Law JobsData Science Law Jobs in Washington

Data Science Law information

See Washington salary details

$42.5K

$139K

$222.6K

How much do data science law jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data science law in Washington is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 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 Washington?

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

What are popular job titles related to Data Science Law jobs in Washington?

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

What job categories do people searching Data Science Law jobs in Washington look for?

The top searched job categories for Data Science Law jobs in Washington are:

Data Science Law jobs near you
Infographic showing various Data Science Law job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Data Scientist - Law Enforcement Analytics & Program

Meta

Washington, DC • Remote

$151K/yr

Full-time

Re-posted 21 hours ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Meta is seeking a Data Scientist to join our Law Enforcement Analytics & Program (LEAP) team. Our mission is to enable Meta's capacity to balance public safety, user privacy, and compliance obligations at scale through strategic coordination, technical leadership, and operational success across the Security, Integrity, Investigations (SI2) legal team and its partners. This role leverages AI, data and insights to drive decisions that enable predictability, and proactive detection, allowing us to operate efficiently and reliably at scale. You will be building AI models and will be involved in the design, development, and deployment of intelligent solutions that reduce the operational and investigative burden. This role will directly impact the scalability and efficiency of our operations and investigations through proactive detection, automation, and resolution of routine tasks, inefficiencies, and incidents. In addition, this is a crucial role in translating data into action and identifying opportunities for efficiency and effectiveness.
Data Scientist - Law Enforcement Analytics & Program Responsibilities:
  • Translate business challenges into clear, actionable requirements for AI-enabled solutions
  • Map end-to-end business processes, highlighting areas where AI can drive efficiency and value
  • Design, build and implement AI automations
  • Develop and deploy solutions and AI prompts to identify and address bottlenecks, replacing manual interventions with intelligent automation
  • Create scalable automation mechanisms that proactively monitor, analyze, and report
  • Build robust predictive models using statistical and machine learning techniques to forecast risks, anticipate issues and optimize
  • Develop monitoring tools to trigger early warnings and facilitate rapid resolution through automation
  • Acts as a data subject matter
  • Formulate the right metrics, measures, and definitions of success to drive quality, efficiency, cost, and timeliness understanding the source data
  • Perform complex data analysis leveraging data streams available to drive proactive and predictive action
  • Partner with operational analysts, investigators, and engineering partners to understand pain points, identify repetitive tasks, and translate them into opportunities for automation
  • Bring multiple areas of business and engineering together via a common reliable foundation of common data, metrics, and insights
  • Build data tables and dashboards, and leverage these for interpreting incidents and trends
  • Leverage tools like Tableau, Python, and SQL to drive efficient analytics

Minimum Qualifications:
  • 6+ years of experience in analytics, engineering, and use of AI/ML
  • 6+ years of SQL development experience and scripting language like Python
  • Hands-on experience with AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn) and automation tools/platforms
  • Experience with data visualization tools and leveraging data models to drive business decisions
  • Experience with statistics (e.g. statistics basics, statistical modeling, experimental design, hypothesis testing, etc.)
  • Demonstrated experience with proactively identifying, scoping and implementing solutions
  • Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
  • Bachelor's Degree in an anlaytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, or Data Science)

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Master's Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, or Data Science)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$151,000/year to $213,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply