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Data Science Major Jobs in Georgia (NOW HIRING)

Harver

Senior Data Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

You'll execute predictive validity studies and outcome analyses that prove ROI for major enterprise ... Collaborate with Data Scientists on methodology refinement and framework improvements * Support ...

Munich Re

Data Scientist

Atlanta, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation ...

PrizePicks

Data Science Manager - Market Origination

Atlanta, GA · On-site +1

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Oversee development and deployment of projection models and coverage expansion across major sports ... Strong technical foundation in data science, statistics, or software engineering. * Demonstrated ...

PrizePicks

Data Science Manager - Market Origination

Atlanta, GA · On-site

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Oversee development and deployment of projection models and coverage expansion across major sports ... Strong technical foundation in data science, statistics, or software engineering. * Demonstrated ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Other duties may be performed, both major and minor, which are not mentioned below. Specific ... Take accountability and ownership of end-to-end data science solution design, technical delivery ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Other duties may be performed, both major and minor, which are not mentioned below. Specific ... Take accountability and ownership of end-to-end data science solution design, technical delivery ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Other duties may be performed, both major and minor, which are not mentioned below. Specific ... Take accountability and ownership of end-to-end data science solution design, technical delivery ...

Truist

Decision Scientist II

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Other duties may be performed, both major and minor, which are not mentioned below. Specific ... Data Science, Analytics, Computer Science, Applied Mathematics or Engineering 3. Must be able to ...

Cognira, Inc.

Senior Data Scientist

Atlanta, GA

  • Medical

  • Retirement

  • PTO

We are passionate about making science easy and accessible to retailers, helping them get more ... Work-Life Balance: 21 paid days off, major national holidays in the US * Unlimited days of Work ...

Cognira, Inc.

Senior Data Scientist

Atlanta, GA · On-site

  • Medical

  • Retirement

  • PTO

We are passionate about making science easy and accessible to retailers, helping them get more ... Work-Life Balance: 21 paid days off, major national holidays in the US * Unlimited days of Work ...

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All JobsData Science Major JobsData Science Major Jobs in Georgia

Data Science Major information

What is a data science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do data science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What are the key skills and qualifications needed to thrive as a data science major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

What is the difference between Data Science Major vs Data Analyst?

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What jobs can I do with a data science major?

A data science major can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, or data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with a focus on interpreting large datasets to support decision-making.

What kind of jobs can I get with a data science major?

A data science major can lead to roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

What are popular job titles related to Data Science Major jobs in Georgia?

For Data Science Major jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Science Major jobs in Georgia look for?

The top searched job categories for Data Science Major jobs in Georgia are:

Data Science Major jobs near you
Infographic showing various Data Science Major job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Science Analyst

Harver

Atlanta, GA • On-site

$82K - $104K/yr

Full-time

Re-posted 20 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.

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