Mgr Data Science

This role combines scientific leadership with people leadership. You will hire, develop, and coach top talent while creating an environment that fosters innovation, collaboration, operational excellence, and customer-focused problem solving. Success requires strong business acumen, sound scientific judgment, stakeholder management skills, and the ability to drive results in a dynamic environment. What will you do?

• Lead, coach, develop, and retain a high-performing team of data scientists.
• Set scientific direction and team priorities aligned with business objectives.
• Partner with cross-functional stakeholders to identify and deliver high-impact data science solutions.
• Drive execution of complex initiatives across machine learning, optimization, forecasting, decision science, and advanced analytics.
• Review technical approaches, provide guidance on solution design, and promote scientific rigor and model quality.
• Establish scalable processes and mechanisms that improve team effectiveness and delivery predictability.
• Communicate insights, recommendations, risks, and business impact to senior leadership.
• Foster a culture of innovation, continuous learning, and data-driven decision making.

• 5+ years of experience applying data science, machine learning, optimization, statistics, or related quantitative disciplines to solve business problems.
• 2+ years of people leadership experience, including coaching, developing, or managing technical professionals.
• Demonstrated success leading teams and delivering complex data science initiatives in cross-functional environments.
• Strong understanding of machine learning, optimization, experimentation, statistical modeling, and advanced analytics.
• Experience communicating technical concepts and business insights to both technical and non-technical stakeholders.

Education:

• Master’s degree in Operations Research, Statistics, Machine Learning, Applied Mathematics, Computer Science, Operations Management, or a related quantitative field., * PhD in Operations Research, Statistics, Machine Learning, Economics, Computer Science, Applied Mathematics, or a related quantitative field.
• Experience translating business strategy into data science roadmaps and scientific workstreams.
• Knowledge of cloud platforms such as Azure, AWS, or GCP.
• Hands-on experience with Python, SQL, Pandas, PySpark, Scikit-learn, TensorFlow, Keras, or similar technologies.
• Experience with optimization modeling and commercial solvers such as Gurobi or Xpress.
• Demonstrated ability to influence senior leaders and drive organizational change through data and technology.

paid time off, 401(k), At Hershey, we offer competitive pay and a comprehensive total rewards package designed to support your wellbeing, financial security, and life outside of work.

• Health & Wellbeing: Medical, dental, and vision coverage, plus wellness programs that support your physical and mental health.
• Financial Security: Competitive pay, annual incentive opportunities, and a 401(k) with company match.
• Time Off & Flexibility: Paid time off, company holidays, and flexible ways of working where applicable.
• Growth & Development: Career development programs, learning opportunities, and internal mobility.

Benefits may vary based on role, location, and eligibility.

The anticipated base salary range for this role is $155,840.00 to $194,800.00per year. The actual base salary offered will depend on a variety of jobrelated factors, including, but not limited to, experience, skill set, education, and training. In addition to a market-competitive base salary, our Total Rewards package includes performancebased incentives and a comprehensive, competitive benefits package designed to support overall physical, mental, and financial wellbeing (as applicable). Learn more about Hershey’s benefits and all the resources Hershey provides to support our employees’ physical, emotional, and financial wellbeing by visiting the Hershey Digital Employee Experience at www.askHRbenefits.hersheys.com

At The Hershey Company, our culture is rooted in purpose and inspired by Milton Hershey’s enduring vision that business should create opportunity for others. Through our commitment to corporate philanthropy, we create positive impact by supporting communities, helping children thrive, and operating as a business for good. This includes our deep and long standing partnership with Milton Hershey School, where we invest in education, workforce readiness, and hands on engagement to help students succeed beyond the classroom. Supported by strategic grantmaking, product donations, cross brand collaboration, and strong employee volunteerism, Hershey offers a place to work where making a difference-locally and globally-is part of how we do business every day. About The Hershey Company The Hershey Company (NYSE: HSY) is an industry-leading snacks company known for making more moments of goodness through its iconic brands. With a strong portfolio across chocolate, confectionery, and salty snacks, Hershey delights consumers every day. Our beloved brands include Hershey’s, Reese’s, KitKat, Dots Pretzels, Lesser Evil, Jolly Rancher, Twizzlers, Ice Breakers, and more.

At Hershey, we are committed to making a meaningful difference in the communities where we live, work, and do business. This commitment originated with our founder, Milton Hershey, and continues to shape who we are today.

Guided by our employee value proposition, Lead Today. Create Tomorrow, we empower our people to drive impact now while shaping what comes next. Our One Hershey mindset brings teams together across functions, geographies, and businesses, enabling us to operate with speed, collaboration, and shared purpose.

The Hershey Company is proud to be recognized as a top employer in the United States, reflecting our commitment to our people, culture, and purpose. How will you fit in the big picture? As a Data Science Manager, you will lead a team of data scientists focused on solving complex business challenges through machine learning, optimization, forecasting, experimentation, and advanced analytics. You will partner with engineering, product, and business leaders to identify opportunities where data science can create meaningful business value and help shape the future of snacking.