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Data Science Law Jobs (NOW HIRING)

Meta

Data Science Director

Menlo Park, CA

$314K/yr

Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data ... Meta participates in the E-Verify program in certain locations, as required by law. Please note ...

Carmax

Senior Manager, Data Science

Richmond, VA

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 ...

Carmax

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 ...

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business ... law. Requests for accommodation should be directed to your point of contact in the Talent ...

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How much do data science law jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data science law in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Data Science Law job?

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 in a legal or corporate environment?

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 the Data Science Law position, and why are they important?

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.

More about Data Science Law jobs
What cities are hiring for Data Science Law jobs? Cities with the most Data Science Law job openings:
What are the most commonly searched types of Data Science Law jobs? The most popular types of Data Science Law jobs are:
What states have the most Data Science Law jobs? States with the most job openings for Data Science Law jobs include:
What job categories do people searching Data Science Law jobs look for? The top searched job categories for Data Science Law jobs are:
Data Science Law jobs near you
Infographic showing various Data Science Law job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Science Director

Data Science Director

Meta

Menlo Park, CA

$314K/yr

Full-time

Posted yesterday

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

We’re looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.About the role:People leadership: You will inspire, leadProduct leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Science Director Responsibilities:
  • Inspire, lead and grow a distributed team of data scientists and data science leaders across North America and Europe.
  • Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
  • Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
  • Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.

Minimum Qualifications:
  • 15+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development
  • Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
  • Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses
  • Intellectual curiosity, drive, and decisiveness with ambiguous and complex environments
  • Experience working effectively with multiple stakeholders and cross-functionally
  • Effective communication skills

Preferred Qualifications:
  • Experience with both product and business analytics work and demonstrated to deliver an integrated approach

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.
$314,000/year to $361,000/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.

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