Director Data Science - Inventory Management and Supply Chain Operations

Sysco - Houston, TX

Full-time - Senior

Houston, TX

Merchant Wholesalers, Nondurable Goods

About the position

The Director of Data Science - Inventory Management and Supply Chain Operations will lead the development of predictive models to enhance Sysco's analytics capabilities. This role involves hands-on technical development of analytics solutions and coaching a team of data scientists to drive business insights and support key functional areas such as pricing, merchandising, and supply chain operations.

Responsibilities

• Lead the technical development of an industry-leading predictive analytics portfolio in support of key functional & business priorities.
• Work with VPs and Sr Directors to frame business opportunities and develop appropriate analytic strategies.
• Implement data science models and visualizations using Python, Tableau, and open source libraries.
• Manage, attract, coach, retain, and motivate a world-class team of scientists and engineers.
• Lead multiple projects simultaneously and assist in team resource planning.
• Perform regular code reviews and provide feedback on coding standards to junior data scientists.
• Design and execute experiments to validate solutions during product rollout and present results to leadership.
• Collaborate with cross-functional teams to drive business results through various use cases.
• Work with technology teams on data integration to improve data assets for customer-centric initiatives.
• Research industry-leading analytics practices and recommend continuous improvement opportunities for Sysco.
• Represent Sysco in industry events.

Requirements

• Doctoral degree in a relevant field or equivalent experience (PhD + 5 years, Master's + 7 years, Bachelor's + 10 years).
• 5+ years of experience in management consulting, strategy, or analytics.
• Strong software design and OOP fundamentals.
• Demonstrated experience using machine learning algorithms in a commercial setting.
• High proficiency in statistical packages and quantitative analytics.
• Proficiency in SQL or NoSQL database environments.
• 4+ years of experience with scientific scripting languages (e.g., Python) and/or object-oriented programming (e.g., C++, Java).
• 5+ years of experience with Bayesian statistics, regression analysis, supervised learning, unsupervised learning, or time series analysis.

Nice-to-haves

• Experience in CPG, Retail, and/or Foodservice.
• Experience with Agile Software Development.

Benefits

• Competitive salary range of $168K - $213K per year.