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Full Time Data Science Law Jobs (NOW HIRING)

National Debt Relief, LLC.

Senior Data Scientist

$149K - $171K/yr

D. is preferred. * 7 years of professional full-time data science experience, with a proven track ... This good faith pay range is provided in compliance with NYC law and the laws of other ...

Syntelligent Analytic Solutions

Accountability, Mission Driven, Community Focus and Team Oriented.  Syntelligent is seeking a full time Data Scientist for a future opening available with a government customer.*** This is a ...

WebstaurantStore

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

WebstaurantStore

Data Scientist - Marketing

Lititz, PA · On-site +1

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

WebstaurantStore

Sr Data Scientist

Lititz, PA · On-site +1

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

WebstaurantStore

Data Scientist - Pricing

Lititz, PA · On-site +1

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

Optimize Partners

Director, Data Science

New York, NY · On-site

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

Optimize Partners

Director, Data Science

New York, NY · Hybrid

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

Prescient Edge

Data Science Lead

Doral, FL · On-site

... Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ... by law. We strive to foster equity and inclusion throughout our organization because we believe ...

Liberty Mutual

... or local law. Fair Chance Notices * California * Los Angeles Incorporated * Los Angeles ... San Francisco Employment Type: FULL_TIME

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How much do full time data science law jobs pay per year?

As of Jun 8, 2026, the average yearly pay for full time 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 the difference between Full Time Data Science Law vs Data Analyst?

AspectFull Time Data Science LawData Analyst
Required CredentialsBachelor's or higher in Data Science, Law, or related fields; certifications like Certified Data ProfessionalBachelor's degree in Data Analysis, Statistics, or related fields; certifications like Microsoft Data Analyst
Work EnvironmentLegal firms, corporate legal departments, or compliance teams; often involves handling legal data and regulationsBusiness, finance, marketing sectors; focuses on interpreting data to inform decisions
Employer & Industry UsageLegal and corporate sectors integrating data science for legal analytics and complianceVarious industries using data to optimize operations and strategies

Full Time Data Science Law professionals focus on applying data science techniques within legal contexts, often requiring legal knowledge alongside data skills. Data Analysts primarily interpret data to support business decisions across industries. While both roles involve data handling, their focus areas and environments differ significantly.

More about Full Time Data Science Law jobs
What cities are hiring for Full Time Data Science Law jobs? Cities with the most Full Time 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 Full Time Data Science Law jobs? States with the most job openings for Full Time Data Science Law jobs include:
What job categories do people searching Full Time Data Science Law jobs look for? The top searched job categories for Full Time Data Science Law jobs are:
Full Time Data Science Law jobs near you
Infographic showing various Full Time Data Science Law job openings in the United States as of May 2026, with employment types broken down into 3% Locum Tenens, 68% Full Time, 22% Part Time, 3% Temporary, 2% Contract, and 2% Nights. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Scientist

Senior Data Scientist

National Debt Relief, LLC.

Remote

$149K - $171K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Overview
Job Summary:
National Debt Relief (NDR) is seeking an experienced and versatile Senior Data Scientist to join our Data Intelligence team and round out our capabilities. This role is designed for an experienced data science professional with proven experience in building and deploying enterprise-grade production machine learning (ML) and artificial intelligence (AI) models. As a key contributor, you will augment the team's existing strengths in classification and regression analysis by bringing advanced expertise in techniques such as unsupervised learning, clustering, time series analysis, anomaly detection, natural language processing (NLP), topic modeling, and generative AI. This individual will be pivotal in enhancing the team's capacity to conceptualize, develop, and deploy complex models efficiently, within project timelines.
Responsibilities
Essential Duties/Responsibilities:
  • Serve as a strategic addition to the data science team, contributing advanced technical expertise to complement existing skills.
  • Conceptualize, develop, and deploy production-grade ML models and AI applications, consistently delivering projects within 8-12-week timeframes.
  • Apply sophisticated data science techniques, including unsupervised learning, clustering, time series analysis, anomaly detection, NLP, topic modeling, and generative AI, to address business challenges.
  • Implement and maintain ML Ops practices to streamline and manage the full model lifecycle for scalable, production-ready solutions.
  • Collaborate with cross-functional teams to identify business needs and translate them into impactful data science solutions.
  • Use strong SQL (Snowflake preferred) and Python skills for data preparation, analysis, and model development.
  • Demonstrate high business acumen by understanding the practical implications of data science projects and communicating effectively with stakeholders.
  • Present complex analyses and results to both technical and non-technical audiences, ensuring clarity and actionable insights.
  • Mentor junior team members, contributing to a culture of continuous learning and data innovation.

Qualifications
Education/Experience:
  • Bachelor's degree in Data Science, Computer Science, Statistics, or a related field required. A master's or Ph.D. is preferred.
  • 7 years of professional full-time data science experience, with a proven track record of developing and deploying production-grade ML models.
  • Candidates should have experience with marketing attribution and optimization modeling.
  • Experience in financial services or a related industry (Preferred).
  • Experience with data warehouse solutions like Snowflake, Azure, Redshift, or GCP (Preferred).

Required Skills/Abilities:
  • Advanced proficiency in Python and SQL (Snowflake preferred), with significant hands-on experience.
  • Deep expertise in ML Ops and experience managing production model workflows.
  • Extensive experience with DataRobot or similar platforms is highly preferred.
  • Proven application of a variety of advanced data science techniques beyond classification and regression, including unsupervised learning, clustering, time series analysis, anomaly detection, NLP, topic modeling, and generative AI.
  • Demonstrated ability to develop and deploy models while meeting project deadlines, with examples of successful implementations.
  • High level of business acumen, with practical experience in client-facing roles or sales preferred.
  • Experience in marketing optimization models is a plus.
  • Exceptional communication skills for explaining complex data insights to diverse audiences.
  • Ability to foster a culture of collaboration, continuous improvement, and innovation.
  • Familiarity with data visualization tools for impactful presentations.
  • Exposure to collaborative tools such as JIRA and Miro.

National Debt Relief Role Qualifications:
  • Computer competency and ability to work with a computer.
  • Prioritize multiple tasks and projects simultaneously.
  • Exceptional written and verbal communication skills.
  • Punctuality expected, ready to report to work on a consistent basis.
  • Attain and maintain high performance expectations on a monthly basis.
  • Work in a fast-paced, high-volume setting.
  • Use and navigate multiple computer systems with exceptional multi-tasking skills.
  • Remain calm and professional during difficult discussions.
  • Take constructive feedback.
  • Available for full-time position.

Compensation Information
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for each position across the US. Within the range, individual pay is determined by work location, job-related skills, experience, and relevant education or training. This good faith pay range is provided in compliance with NYC law and the laws of other jurisdictions that may require a salary range in job postings. The salary for this position is $149,000.00 - $171,500.00
About National Debt Relief
National Debt Relief was founded in 2009 with the goal of helping an expanding number of consumers deal with overwhelming debt. We are one of the most-trusted and best-rated consumer debt relief providers in the United States. As a leading debt settlement organization, we have helped over 450,000 people settle over $10 billion of debt, while empowering them to lead a healthier financial lifestyle and feel free to live their best life. At National Debt Relief, we treat our clients like real people. Our purpose is to elevate, empower, and transform their lives.
Rated A+ by the Better Business Bureau, our goal is to help individuals and families get out of debt with the least possible cost through conducting financial consultations, educating the consumer and recommending the appropriate solution. We become our clients' number one advocate to help them reestablish financial stability as quickly as possible.
Want to learn more about who we are? Connect with us on social!
Benefits
National Debt Relief is a team-oriented environment full of rewards and growth opportunities for our employees. We are dedicated to our employee's success and growth within the company, through our employee mentorship and leadership programs.
Our extensive benefits package includes:
  • Generous Medical, Dental, and Vision Benefits
  • 401(k) with Company Match
  • Paid Holidays, Volunteer Time Off, Sick Days, and Vacation
  • 12 weeks Paid Parental Leave
  • Pre-tax Transit Benefits
  • No-Cost Life Insurance Benefits
  • Voluntary Benefits Options
  • ASPCA Pet Health Insurance Discount
  • Wellness Incentive Program

National Debt Relief is a certified Great Place to Work®!
National Debt Relief is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other status protected by law.
For information about our Employee Privacy Policy, please see here
For information about our Applicant Terms, please see here
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