Sr Data Scientist

As a Sr Data Scientist at Hershey, you'll work on projects that impact the company's products, applying scientific principles to analyze complex datasets and develop scalable algorithms and models.

Requirements

• Translates ambiguous business problems into data science problems.
• Analyzes complex datasets to inform or make decisions to address 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.
• 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).
• Influences multiple teams to build consensus and advise Sr leadership.
• Evaluates cross-team perspectives and understand how interactions among teams, processes and systems need to be modelled in solutions.
• Utilize deep understanding of business challenges and the applicability of relevant data science disciplines and interactions amongst systems to identify the most advantageous solutions that deliver significant benefit to the business
• Contributions influence technical and business strategy.
• Harmonize discordant views and lead the resolution of contentious issues.
• Optimize connected systems using their dynamics.
• Improve consistency and integration between team’s solutions and the work done by related teams.
• Improve work done by others either via collaboration or by increasing their scientific knowledge using specialized tools or advanced techniques