Dаtа Sсіеntіѕt - Purchasing Power Hybrid - Atlanta, GA
Job in
Atlanta, Fulton County, Georgia, 30383, USA
Listed on 2026-06-02
Listing for:
Purchasing Power, LLC
Full Time
position Listed on 2026-06-02
Job specializations:
-
Engineering
Job Description & How to Apply Below
About the Role
Data Scientist role in Purchasing Power’s analytics team. Hybrid location in Atlanta, Georgia, open to relocating.
Responsibilities- Build, maintain, and improve decision systems and predictive models that are key to Purchasing Power’s competitive advantage.
- Explore new data sources, both internal and external, and use findings to enhance model performance.
- Design, implement, and run in‑market experimentation and A/B testing of new algorithms, technologies, and processes.
- Develop prototypical solutions to business problems using cutting‑edge technologies.
- Leverage AI‑enabled tools throughout workflows and recommend strategic changes through rigorous analysis and creative problem solving.
- Identify, evaluate, and support implementation of advanced analytics methods.
- Collaborate with a collegial team of data scientists.
- 2+ years of professional experience as a data scientist or similar role.
- Master’s degree in a quantitative or technical field (e.g., Math, Stats, Economics, Engineering, Physics, Computer Science).
- Experience with R, Python, machine learning tools, and SQL.
- Demonstrated ability to apply advanced models to real‑world problems.
- Strong research, evaluation, and design skills.
- Experience in engineering environments.
- Knowledge of Dev Ops and Git.
- Track record of AI use and implementation.
- Hybrid work model (onsite / offsite).
- Comprehensive benefits: medical, dental, vision, company‑paid basic life/AD&D, 401(k) retirement plan.
Purchasing Power welcomes and encourages diversity in the workplace. We do not discriminate on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Purchasing Power does business.
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