Mgr Data Science
About The Position
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. 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.
Requirements
- 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.
- Master's degree in Operations Research, Statistics, Machine Learning, Applied Mathematics, Computer Science, Operations Management, or a related quantitative field.
Nice To Haves
- 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.
Responsibilities
- 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.
Benefits
- Medical, dental, and vision coverage
- Wellness programs that support your physical and mental health
- Competitive pay
- Annual incentive opportunities
- 401(k) with company match
- Paid time off
- Company holidays
- Flexible ways of working where applicable
- Career development programs
- Learning opportunities
- Internal mobility
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What This Job Offers
Job Type
Full-time
Career Level
Manager
