Position Details
About this role
This role involves applying advanced analytics, econometrics, and machine learning to understand consumer behavior, forecast trends, and optimize business performance at Hershey.
Key Responsibilities
- Create statistical tools for causal analysis
- Develop scalable econometric models
- Forecast trends and optimize strategies
- Analyze complex datasets
- Generate insights for business decisions
Technical Overview
Focus on statistical modeling, causal inference, econometrics, machine learning, using Python and SQL to analyze large datasets and develop predictive models.
Ideal Candidate
The ideal candidate is a senior data scientist with a PhD in economics or related field, with 5+ years of experience in econometrics, causal inference, and machine learning. They should be proficient in Python and SQL, capable of developing scalable models and delivering actionable insights.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of PhD in economics or equivalent, No experience with causal inference or econometrics, Unwillingness to work in Dallas, TX
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