1

Data Science Law Jobs in Georgia (NOW HIRING)

Senior Data Science Analyst

Atlanta, GA ยท On-site

$82K - $104K/yr

Knowledge of EEOC guidelines and employment law considerations in assessment validation Why Join ... This role reports to the Data Science Manager and works closely with a team of senior data ...

Data Scientist, Senior

Augusta, GA ยท On-site

$62.50 - $69.72/hr

... law. As a data scientist, you're excited at the prospect of unlocking the secrets held by a data ... On our team, you'll use your leadership skills and data science expertise to create real-world ...

Data Scientist, Senior

Augusta, GA ยท On-site

$62.50 - $69.72/hr

... international law. Responsibilities As a data scientist, you're excited at the prospect of ... On our team, you'll use your leadership skills and data science expertise to create real-world ...

Bachelor's degree in Computer Science, Math, Statistics, Machine Learning, Analytic, Data Science ... Please view the electronic EEO is the Law Poster which serves to inform you of your equal ...

New

Data Scientist, Senior

Augusta, GA ยท On-site

$179.09/hr

... international law. Responsibilities As a data scientist, you're excited at the prospect of ... On our team, you'll use your leadership skills and data science expertise to create realโ€‘world ...

... international law. Responsibilities As a data scientist, you're excited at the prospect of ... On our team, you'll use your leadership skills and data science expertise to create real-world ...

Data Scientist, Senior

Augusta, GA ยท On-site

$62.50 - $69.72/hr

... international law. Responsibilities As a data scientist, you're excited at the prospect of ... On our team, you'll use your leadership skills and data science expertise to create real-world ...

Data Scientist

Atlanta, GA ยท On-site

$85K - $90K/yr

Bachelor's degree in C omputer Science, Math, Statistics, Machine Learning, Analytic, Data Science ... Please view the electronic EEO is the Law Poster which serves to inform you of your equal ...

New

AWS Data Scientist

Atlanta, GA ยท On-site

$80K - $90K/yr

The role requires hands-on experience across the full data science lifecycle and close ... This range may be subject to change as permitted by law. The actual compensation offered to any ...

AWS Data Scientist

Atlanta, GA ยท On-site

$85K - $105K/yr

The role requires hands-on experience across the full data science lifecycle and close ... This range may be subject to change as permitted by law. The actual compensation offered to any ...

AWS Data Scientist

Atlanta, GA ยท On-site

$80K - $90K/yr

The role requires hands-on experience across the full data science lifecycle and close ... This range may be subject to change as permitted by law. The actual compensation offered to any ...

AWS Data Scientist

Atlanta, GA ยท On-site

$80K - $90K/yr

The role requires hands-on experience across the full data science lifecycle and close ... This range may be subject to change as permitted by law. The actual compensation offered to any ...

Data Scientist

Atlanta, GA ยท On-site

$70K - $120K/yr

... Science, or related field. 3-5+ years of experience in AI, Machine Learning, Application ... This range may be subject to change as permitted by law. The actual compensation offered to any ...

Demonstrated experience and proficiency with data science techniques including (but not limited to ... by law. We strive to foster equity and inclusion throughout our organization because we believe ...

Stay current on emerging data science tools, platforms, and methodologies, bringing relevant ... applicable law. If you have a disability and need an accommodation or assistance with the ...

next page

Showing results 1-20

Data Science Law information

Do law firms need data scientists?

Law firms increasingly employ data scientists to analyze legal data, improve case strategies, and automate document review using tools like machine learning and natural language processing. These roles require skills in data analysis, programming, and understanding legal processes to support decision-making and efficiency.

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 Georgia? The most popular types of Data Science Law jobs in Georgia are:
What are popular job titles related to Data Science Law jobs in Georgia? For Data Science Law jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Data Science Law jobs? Cities in Georgia with the most Data Science Law job openings:
Infographic showing various Data Science Law job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Data Science Analyst

Harver

Atlanta, GA โ€ข On-site

$82K - $104K/yr

Full-time

Re-posted 8 days ago


Job description

About Harver
Harver is the industry leading hiring solution helping organizations optimize their talent decisions. Rooted in over 35 years of rich data insights, the company's portfolio of solutions enables organizations to make the best talent decisions across the entire employee lifecycle. Having processed over 100 million candidates, Harver provides trusted, flexible, and adaptable offerings making hiring better, faster, and fundamentally more fair. More than 1,300 customers trust Harver to help put purpose to work.
At Harver, we are:
  • Transparent: We believe in fostering an open, honest, and accountable environment where information flows freely and clearly.
  • Collaborative: We embrace the power of collaboration and recognize that every individual brings unique strengths to the table.
  • Curious: We embrace curiosity as a driving force for continuous learning and innovation.

Job Overview:
We're seeking a Senior Data Analyst to join our Data Science team, where you'll play a critical role in demonstrating the business value of our talent assessment solutions to Fortune 500 clients. You'll execute predictive validity studies and outcome analyses that prove ROI for major enterprise clients across various industries.
This role focuses on the end-to-end execution of outcome studies-from client data intake and matching through analysis delivery. You'll work with established frameworks and tools while applying strong analytical thinking to translate complex data into compelling client insights.
In this role you get to:
Client Data Management
  • Intake and validate client outcome data (performance, retention, hiring funnel, demographic, productivity metrics)
  • Clean and standardize diverse data formats from enterprise HRIS and ATS systems
  • Match client candidate records with Harver assessment data with high accuracy
  • Troubleshoot data quality issues and communicate data requirements to clients
  • Document data specifications and maintain data integrity throughout analysis lifecycle

Predictive Validity & Outcome Analysis
  • Execute concurrent & predictive validity studies using established statistical frameworks
  • Apply machine learning models (Random Forest, XGBoost) to predict performance and attrition outcomes from assessment data
  • Conduct ROI analyses demonstrating business impact (cost savings, quality of hire improvements)
  • Perform disparate impact analyses to ensure assessment fairness
  • Generate client-ready reports and visualizations communicating technical findings to business stakeholders

Technical & Collaboration
  • Query and analyze data using Looker and SQL from internal databases
  • Collaborate with Data Scientists on methodology refinement and framework improvements
  • Support Client Success teams with technical questions and ad-hoc analyses
  • Maintain analysis documentation and contribute to team knowledge base
  • Present findings to internal stakeholders and client-facing teams
  • Strategic collaboration with People Science team to improve efficiency and effectiveness of solutions
  • Identify custom solutions based on client escalations and build into repeatable process for similar issues in the future

We're looking for people who have:
  • 5+ years of experience in data analysis, preferably in HR tech, people analytics, or consulting
  • Strong proficiency in data cleaning, transformation, and quality assurance with complicated real-world datasets
  • Solid statistical foundation (regression, hypothesis testing, correlation analysis, model evaluation metrics)
  • Experience applying machine learning models as a user (model scoring, interpretation, validation)
  • Proficiency in both Python and R for data analysis (pandas, dplyr, data visualization libraries)
  • SQL proficiency for data extraction and transformation
  • Experience utilizing version control tools like GitHub or Bitbucket to manage collaborative repositories (e.g., Python, R, SQL), ensuring a transparent, peer-reviewed, and audit-ready data environment.
  • Strong communication skills-ability to explain technical concepts to non-technical audiences
  • Excellent attention to detail and commitment to data accuracy
  • Self-directed work style with ability to manage multiple client projects simultaneously

Preferred
  • Background in I-O psychology, psychometrics, or talent assessment (highly valued for facilitating onboarding and understanding assessment validation principles)
  • Familiarity with psychometric concepts (validity, reliability)and experience evaluating adverse impact
  • Experience in HR analytics or workforce analytics
  • Experience with BI tools (Looker, Tableau, Power BI, or similar)
  • Background working with enterprise clients or in client-facing analytical roles
  • Knowledge of EEOC guidelines and employment law considerations in assessment validation

Why Join Harver:
  • Work with Fortune 500 clients on high-impact talent decisions
  • Collaborate with a senior team of data scientists and engineers
  • Contribute to cutting-edge work in AI-driven talent assessment
  • Opportunity to grow into more strategic or technical roles

Location:
Preference for candidates based on the East Coast, with strong preference for Atlanta, GA, Chicago, IL and New Jersey.
Reporting Structure:
This role reports to the Data Science Manager and works closely with a team of senior data scientists, Client Success, and Product teams.