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Data Science Law Jobs (NOW HIRING)

Manager Data Science

Raleigh, NC ยท On-site +1

$115K - $192K/yr

... of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model ... The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ...

Manager Data Science

Raleigh, NC ยท On-site

$115K - $192K/yr

... of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model ... The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ...

Manager Data Science

Raleigh, NC ยท On-site +1

$115K - $192K/yr

... of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model ... The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ...

Manager Data Science

Raleigh, NC ยท On-site

$115K - $192K/yr

... of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model ... The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the ...

As the Manager, Data Science, you'll lead a team of data scientists as they apply data science to ... federal law. The company provides reasonable accommodations to qualified individuals with ...

Manager, Data Science Job no: 503286 College / VP Area: VP Finance & Deputy Treasurer Work type ... law in its employment, educational programs and activities, admissions policies, and scholarship ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the ...

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type ... by law. We strive to foster equity and inclusion throughout our organization because we believe ...

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Data Science Law information

See salary details

$37.5K

$122.7K

$196.5K

How much do data science law jobs pay per year?

As of Jun 28, 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.

Is data science useful for law?

Data science is increasingly valuable in the legal field, helping analyze large datasets for case research, predictive modeling, and legal analytics. Data scientists working in law often use tools like Python, R, and machine learning techniques to support legal decision-making and improve efficiency.

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.

Do law firms hire data scientists?

Yes, some law firms hire data scientists to analyze legal data, improve case strategies, and develop predictive models using skills in data analysis, machine learning, and legal technology tools. These roles often require knowledge of legal processes and data management, and they support data-driven decision-making within the legal industry.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

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.

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:
Infographic showing various Data Science Law job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 8% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Lead Data Science

Galent

San Mateo, CA โ€ข On-site

Other

Posted 3 days ago


Key responsibilities

  • Lead delivery of data science and data engineering initiatives.

  • Manage and mentor a team of data scientists and engineers.

  • Design and deploy scalable analytics and machine learning solutions.


Job description

Lead Data Scientist

We are seeking a hands-on Lead Data Scientist/Data Engineering Lead to drive end-to-end delivery of data science and data engineering projects within the financial services domain. This role will lead a team of data professionals, partner with client stakeholders, and architect scalable analytics and machine learning solutions.

Key Requirements:
Strong expertise in Python and advanced SQL (mandatory)
Experience delivering data science solutions in Banking, Payments, Cards, Lending, or Financial Services
Proven experience leading teams and managing project delivery
Hands-on experience with machine learning, analytics, and large-scale data processing
AWS cloud experience preferred (S3, Glue, EMR, Redshift, SageMaker)
Strong stakeholder management and client-facing communication skills
Experience with Spark, MLOps, CI/CD, and modern data engineering practices is a plus

Responsibilities:
Lead delivery of data science and data engineering initiatives
Manage and mentor a team of data scientists and engineers
Design and deploy scalable analytics and ML solutions
Collaborate with business and technical stakeholders to solve complex data challenges
Ensure quality, governance, and compliance for financial data environments

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.