Sr Data Scientist
About The Position
At Hershey, data isn’t just about numbers—it’s about creating the future of snacking. Our data scientists use advanced analytics to understand customer preferences, forecast trends that shape the industry and optimize our business. You’ll have the opportunity to work on projects that directly impact the Hershey products that people know and love – driving real-world results and more moments of goodness. In this role, this individual will apply scientific principles to analyze complex datasets to make business decision while developing scalable algorithms and models.
Requirements
- Data analytics skills and experience analyzing both experimental and observational data sets
- Deep 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 one or more of: 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. For ML-related roles, additional expertise in model deployment and ongoing production support.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Masters/PhD in a quantitative field (CS, CE, ML, OR, Econ, or related). PhD preferred, with a minimum of 5 years of experience in data science or a related field
Responsibilities
- Translates ambiguous 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 significant invention. Uses a range of scientific methodologies and follows best practices for those methodologies.
- Proactively identifies opportunities and solutions to problems. Solutions may require 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).
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
