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Senior Data Science Law Jobs (NOW HIRING)

Instacart

Senior Data Scientist

OR · On-site +1

Overview This is a general posting for multiple Senior Data Science roles open across our 4-sided marketplace. Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist ...

Lprs

Senior Data Scientist

Boston, MA · On-site

$130 - $175/hr

In keeping with this overarching aim, the senior data scientist will be required to outline work ... You should also harness your mastery of Data Science to consult on various aspects of these and ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

Compunnel

Senior Data Scientist

Raleigh, NC · On-site

JOB SUMMARY As a Senior Data Scientist 5, you will join a team of other talented Data Scientists ... Required Qualifications 10+ years of data science experience (background in NLP, then past 4-5 ...

RadNet, Inc.

Sr Data Scientist

Cudahy, WI · On-site

$120 - $190/hr

Serve as a subject matter expert in the capabilities of Data Science. * Collaborate with business ... or state law. The company will provide reasonable accommodations to allow an applicant to ...

ALIS Software LLC

Sr Data Scientist

Additional Responsibilities (Senior Data Scientist) Serve as analytics lead for the pod. Own ... Strong background in statistics, mathematics and with data science degree Healthcare, medical ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

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Senior Data Science Law information

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How much do senior data science law jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for senior data science law in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is a senior data science law professional?

A Senior Data Science Law professional is an expert who specializes in the intersection of data science and legal regulations. They ensure that data-driven projects and analytics comply with relevant laws such as data privacy, intellectual property rights, and ethical standards. This role often involves advising organizations on legal risks related to data collection, processing, and usage, as well as developing policies for responsible AI and machine learning practices. Senior professionals in this field work closely with both data science teams and legal departments to bridge technical and legal requirements.

What are the key skills and qualifications needed to thrive as a senior data science law professional?

To thrive as a Senior Data Science Lawyer, you need a strong background in law (Juris Doctor or equivalent), expertise in data privacy and technology regulations, and substantial experience in data science applications. Familiarity with legal research databases, compliance management tools, and statistical analysis software such as Python, R, or SAS is typically required. Exceptional analytical thinking, clear communication, and collaborative problem-solving are crucial soft skills that set professionals apart in this field. These competencies are essential to effectively bridge the gap between legal frameworks and advanced data science practices, ensuring compliance and risk mitigation for organizations.

How does a senior data science law professional typically collaborate with legal and technical teams within an organization?

A Senior Data Science Law professional acts as a bridge between data science teams and legal departments, ensuring that data-driven projects comply with relevant regulations and ethical standards. They often work closely with data engineers, analysts, and legal counsel to review data collection, usage, and privacy policies. Regular collaboration involves translating complex legal requirements into actionable guidelines for technical teams and providing legal risk assessments for new data initiatives. This interdisciplinary role requires strong communication skills and the ability to align business objectives with regulatory compliance.

What is the difference between Senior Data Science Law vs Data Science Analyst?

AspectSenior Data Science LawData Science Analyst
Required CredentialsAdvanced degrees in law, data science, or related fields; certifications in data analysis or legal complianceBachelor's or master's in data science, statistics, or related fields; certifications in data analysis tools
Work EnvironmentLegal firms, corporate legal departments, or compliance teams within tech companiesBusiness, finance, healthcare, or tech companies analyzing data for insights
Employer & Industry UsageLegal and regulatory sectors integrating data science for legal analyticsVarious industries using data analysis to inform business decisions

The main difference is that Senior Data Science Law professionals focus on applying data science within legal and compliance contexts, often requiring legal knowledge combined with data skills. Data Science Analysts primarily analyze data to generate insights across diverse industries without specialized legal expertise.

What cities are hiring for Senior Data Science Law jobs?

Cities with the most Senior 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 Senior Data Science Law jobs?

States with the most job openings for Senior Data Science Law jobs include:

Senior Data Science Law jobs near you

Senior Data Scientist

Instacart

OR • On-site, Remote

Full-time

Re-posted 5 days ago

Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

28th of 64 rated delivery companies

Job description

Overview

This is a general posting for multiple Senior Data Science roles open across our 4-sided marketplace. Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. You'll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we'll do a team-matching exercise to determine which of the open roles/teams you'll join. At the bottom of this posting, you'll find a breakdown of the currently open roles.

About the Job

  • Own analytical frameworks that guide the product roadmap.
  • Design rigorous experiments and interpret results to draw detailed and actionable conclusions.
  • Develop statistical models to extract trends, measure results, and predict future performance of our products.
  • Build simulations to project the impact of various product and policy interventions.
  • Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools.
  • Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart.
  • Present findings in a compelling way to influence Instacart's leadership.

About You

Minimum Qualifications

  • 5+ years of experience working in a quantitative role at a product company or a research organization.
  • Ability to run rigorous experiments and generate scientifically sound recommendations.
  • Ability to write complex, efficient, and eloquent SQL queries to extract data.
  • Ability to write efficient and eloquent code in Python or R.
  • A desire to build and improve consumer software products.
  • Ability to translate business needs into analytical frameworks.
  • Eagerness to learn, flexibility to pivot when needed, savviness to navigate a dynamic environment, and a growth mindset to build a successful team and company.

Preferred Qualifications

  • Awareness of business trade-offs when working on a multi-sided marketplace.
  • Confidence in collaborating with and influencing cross-functional stakeholders (e.g., Product, Engineering) at a senior level.
  • MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.

Currently Opened Roles

Marketing | Sr. Data Scientist I (L5)

The Marketing Data Science team is responsible for measurement and optimization across Instacart's paid digital channels, including search, shopping, display, social, and video. As a Senior Data Scientist, you'll build and maintain sophisticated attribution models-including multi-touch and incrementality-based approaches-and develop scalable data pipelines to turn raw marketing data into clean, analysis-ready datasets. You'll apply causal inference methods such as geo holdouts and difference-in-differences to evaluate campaign effectiveness, partnering closely with marketing, data engineering, and business teams to define measurement frameworks and drive data-informed decisions. You'll also model user lifetime value (LTV) across acquisition cohorts, quantifying how marketing spend and channel mix influence long-term retention and monetization to inform budget allocation and growth strategy

#LI-Remote

What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

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