At Hershey, data isn’t just about numbers—it’s about shaping the future of snacking. Our data scientists use advanced analytics to understand customer preferences, forecast industry trends, and optimize operations. In this role, you’ll work on projects that directly impact the Hershey products people know and love—driving real-world results and creating more moments of goodness. You will apply scientific principles to analyze complex datasets, support business decision-making, and develop scalable algorithms and models.
Requirements
- Experience analyzing both experimental and observational datasets
- Proficiency with statistical software (e.g., R, MATLAB, SAS, Stata, Python with NumPy) or domain-specific tools (e.g., TensorFlow for ML)
- Basic proficiency in SQL
- Strong skills in model development, validation, and implementation; experience with ML model deployment is a plus
- Deep expertise in empirical industrial organization
- Strong background in econometric modeling of preferences and strategic effects
- Solid foundation in statistical methodologies and their application to business problems
Responsibilities
- Apply rigorous economic thinking and econometric methods to deliver data-driven recommendations
- Design and analyze experiments and quasi-experimental studies
- Collaborate with scientists to build econometric models and develop scalable solutions to complex problems
- Translate ambiguous business problems into data science questions and analyze complex datasets to inform decisions
- Apply scientific principles and methodologies, adhering to best practices
- Proactively identify opportunities and develop innovative solutions
- Create metrics to quantify the business impact of your work
Other
- The ideal candidate is an economist specializing in empirical industrial organization or related fields involving structural or reduced-form causal inference.
- You are a self-starter who thrives in ambiguity, earns trust in a fast-paced, ever-evolving environment, and balances big-picture thinking with attention to detail.
- You hold yourself to high standards and consistently deliver results.
- Partner with cross-functional teams—including executives, product, marketing, and finance—to apply economic theory and data insights to strategic initiatives
- Communicate model approaches and outcomes effectively to non-technical stakeholders
