Data Scientist

The Hershey Company - Dallas, TX

Full-time - Mid Level

Dallas, TX

Food Manufacturing

About the position

The Data Scientist role at The Hershey Company involves applying scientific principles to analyze complex datasets to inform business decisions. The position requires developing scalable algorithms and models, translating business problems into data science challenges, and collaborating with various stakeholders to drive impactful solutions.

Responsibilities

• Translates well-structured business problems into data science problems.
• Analyzes complex datasets to inform or make decisions to address those business problems.
• Applies scientific principles and concepts to support invention.
• Uses a range of scientific methodologies and follows best practices for those methodologies.
• Proactively identifies solutions to problems, potentially requiring novel techniques or approaches.
• Creates metrics and measurements to quantify the business impact of the work.
• Writes accurate and clear technical documentation and reports, including appropriate mathematical rigor as needed.
• Communicates the approach and outcomes of models clearly and effectively with non-technical stakeholders to build trust.
• Collaborates with stakeholders across a broad set of functions (science, data, engineering, product, business).

Requirements

• Master's or Doctoral degree in a quantitative field (CS, CE, ML, OR, Econ, or related).
• Minimum of 3 years of experience in data science or a related field.
• Data analytics skills and experience analyzing both experimental and observational data sets.
• Expertise in one or more of: machine learning, natural language processing, computer vision, operations research, applied mathematics, statistics, econometrics, causal analysis, or similar science discipline.
• Experience developing A/B testing capabilities, forecasting models, inventory optimization, capacity planning, pricing, recommender systems, classification models, causal impact, customer choice models, or similar science products.
• Proficiency with math/stats software (e.g. R, Matlab, SAS, Stata, Python numpy) or other domain specific software (e.g. Python/TensorFlow for ML).
• Basic proficiency with SQL.
• Strong skills in model development, model validation, and model implementation.

Nice-to-haves

• Experience in model deployment and ongoing production support.