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Data Scientist – Purchasing Power
Purchasing Power. Build, maintain, and improve decision systems and predictive models key to Purchasing Power’s competitive advantage .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and improving decision systems and predictive models using advanced analytics and machine learning techniques. Proficient in data analysis and capable of implementing AI-enabled tools to enhance business solutions.
Highest-signal resume keywords
Machine LearningR ProgrammingPython ProgrammingSQLData Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningR ProgrammingPython ProgrammingSQLAdvanced AnalyticsData AnalysisResearch DesignPredictive ModelingStatistical AnalysisAlgorithm Development
Soft Skills
Creative Problem SolvingTeam CollaborationAdaptability
Tools & Technologies
AI-Enabled ToolsDevOpsGit
Industry Keywords
Quantitative AnalysisDecision SystemsPredictive ModelsIn-Market ExperimentsData Sources
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Build, maintain, and improve decision systems and predictive models key to Purchasing Power’s competitive advantage
- Explore internal and external data sources and use findings to 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
- Use AI-enabled tools throughout workflows
- Recommend and support strategic changes through rigorous analytics and creative problem solving
- Identify, evaluate, and help implement advanced analytics methods
- Develop a profound understanding of customers, products, and financials through data analysis
- Participate as part of a collegial team of data scientists
Requirements
What you’ll need- Bachelor’s degree with 2+ years of experience OR a Master’s/PhD in a quantitative or technical field (Math, Statistics, Economics, Engineering, Physics, Computer Science)
- Experience with R, Python, machine learning tools, and SQL
- Evidence of applying advanced models to real-world problems
- Ability to craft rigorous research/evaluation designs
- Experience in engineering environments
- Knowledge of DevOps and Git
- A track record of agentic AI use and implementation
- Open to learning as roles and workflows evolve
- Open to relocating to Atlanta, Georgia
Benefits
Comp & perks- Hybrid work model (Onsite/Offsite)
- Comprehensive benefits: medical, dental, vision, company paid Basic Life/AD&D
- 401k Retirement Plan
- Career Development
- Employee Purchase Program