Data Scientist

Location: Dallas, TX

This position will be Hybrid.

Summary:

This role within our Information Services department is looking for a 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 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. 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).

Scope:

• Influence is primarily within the team
• Deliver artifacts on medium size projects, define methodology and own analysis Results affect important business decisions.
• Influence teams technical and business strategy by making insightful contributions to team priorities and approach
• Develop metrics to quantify the benefits of a solution and influence project outcomes.

Qualifications:

• 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 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 experience in model deployment and ongoing production support.

Experience and Education:

• Masters/PhD in a quantitative field (CS, CE, ML, OR, Econ, or related). PhD preferred
Minimum of 3 years of experience in data science or a related field

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The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey Company is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's race, color, gender, age, national origin, religion, citizenship status, marital status, sexual orientation, gender identity, transgender status, physical or mental disability, protected veteran status, genetic information, pregnancy, or any other categories protected by applicable federal, state or local laws.

The Hershey Company is an Equal Opportunity Employer - Minority/Female/Disabled/Protected Veterans

If you require a reasonable accommodation as part of the application process, please contact the HR Service Center (askhr@hersheys.com).