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Tech Stack
Tools & technologiesPySparkPythonSQL
About the role
Key responsibilities & impact- Develop Price Elasticity and Price Recommendation algorithms
- Build scalable models for hundreds of categories and thousands of stores
- Provide transparency on algorithmic recommendations
- Prepare accurate data for model learning
- Document frameworks thoroughly
Requirements
What you’ll need- Ph.D or Master's in Data Science preferred
- 4+ years of relevant work experience
- Proficiency in Python, SQL, and PySpark
- Experience with Deep Learning and Operations Research projects
- Knowledge of Optimization/Reinforcement Learning models
- Ability to communicate effectively with stakeholders
- Strong analytical skills to identify patterns and issues in data
- Experience analyzing data and conducting error analysis
- Must be authorized to work in the United States without sponsorship
Benefits
Comp & perks- Health insurance
- 401(k) match
- Stock purchase plan
- Paid maternity and parental leave
- PTO
- Multiple health plans
- Performance-based bonus awards
- Short-term and long-term disability
- Company discounts
- Walmart-paid education benefit program
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLPySparkDeep LearningOperations ResearchOptimization modelsReinforcement LearningData analysisError analysisAlgorithm development
Soft Skills
Effective communicationAnalytical skillsStakeholder engagement
Certifications
Ph.D in Data ScienceMaster's in Data Science