Sr Data Scientist

Location: Hershey, PA

This will be a hybrid position. 

Summary:

This role within our Information Services department is looking for a Sr Data Scientist that can apply scientific principles to analyze complex datasets across different groups to make business decisions. Develops scalable algorithms and models.​

Major 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).

Qualifications:

• 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

Experience and Education Requirements:

• Masters Degree in a quantitative field (CS, CE, ML, OR, Econ, or related). PhD preferred.

• 5+ years of experience in data science or a related field​

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