At Hershey, data is more than just numbers—it’s the foundation for shaping the future of snacking. As a Data Scientist specializing in economics, you’ll apply advanced analytics, econometrics, and causal inference techniques to uncover insights, optimize strategies, and directly impact the products millions of people enjoy every day. This role is ideal for an economist with expertise in empirical industrial organization or related fields who thrives in dynamic, fast-paced environments and can bridge technical solutions with business strategy.
Key Responsibilities
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Apply economic theory and econometric methods to generate data-driven insights and recommendations.
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Design, analyze, and interpret experiments and quasi-experimental studies.
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Build econometric and statistical models to address complex business challenges.
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Partner with cross-functional teams—including executives, product, finance, and marketing—to translate insights into strategy.
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Develop scalable algorithms, models, and decision-support tools.
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Communicate technical results and methodologies clearly to non-technical stakeholders.
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Create performance metrics to measure and demonstrate business impact.
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Identify opportunities to apply data science for optimization and innovation across Hershey operations.
Scope of Work
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Influence multiple teams and advise senior leadership on strategic decisions.
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Model complex interactions across systems, teams, and processes.
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Shape technical and business strategies through advanced economic and data science methods.
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Collaborate to optimize interconnected systems, processes, and outcomes.
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Share expertise to enhance collaboration, improve tools, and strengthen team capabilities.
Basic Qualifications
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PhD in Economics or related field.
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Strong background in analyzing experimental and observational datasets.
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Proficiency in statistical tools (R, MATLAB, SAS, Stata, Python with NumPy) and basic SQL.
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Expertise in econometric model development, validation, and implementation.
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Proven research record with patents or publications in top-tier journals/conferences.
Preferred Qualifications
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Expertise in empirical industrial organization.
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Strong econometric modeling experience in preferences, strategic interactions, and causal inference.
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Effective communicator across technical and non-technical audiences.
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3+ years of experience applying quantitative research in business environments.
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Hands-on experience with machine learning, operations research, or deep learning methods.
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Experience building solutions in areas such as A/B testing, forecasting, inventory optimization, pricing strategies, recommender systems, or customer choice modeling.
Why Join Hershey
This is your chance to shape the snacking industry’s future while working with world-class teams and cutting-edge data science. At Hershey, your expertise drives real-world impact, improves decision-making, and creates more moments of goodness for customers around the globe.