Hybrid Data Scientist – FinTech Analytics & AI

Purchasing Power; Atlanta (GA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Medical, dental, vision

401k Retirement Plan

Career Development

Employee Purchase Program

Job summary

Purchasing Power is a hybrid Data Scientist role in Atlanta that blends data mining, machine learning, and software engineering to develop decision systems and predictive models. You will explore internal and external data sources, design rigorous experiments, and prototype AI-enabled solutions to drive business impact.

The team values curiosity, rapid learning, and measurable improvements aligned with our fintech mission.

Qualifications

• 2+ years experience in a quantitative/technical field.
• Master’s degree in a quantitative/technical field.
• Experience with R, Python, ML tools, and SQL.
• Ability to craft rigorous research/evaluation designs.
• Familiarity with AI-enabled tools and data-driven decision making.

Responsibilities

• Build, maintain, and improve decision systems and predictive models that are key to Purchasing Power's competitive advantage.
• Explore new data sources internal and external and use findings to further improve model performance.
• Design, implement, and read in-market experiments testing new algorithms, technologies, and processes.
• Prototype solutions to business problems using cutting-edge technologies.

Skills

2+ years experience

R

Python

Machine learning

SQL

Education

Master’s degree in a quantitative/technical field (Math, Stats, Econ, Eng, CS)

Tools

Job description

Purchasing Power is a hybrid Data Scientist role in Atlanta that blends data mining, machine learning, and software engineering to develop decision systems and predictive models. You will explore internal and external data sources, design rigorous experiments, and prototype AI-enabled solutions to drive business impact.

The team values curiosity, rapid learning, and measurable improvements aligned with our fintech mission.