Data Scientist

Sysco

Full-time - Mid Level

Merchant Wholesalers, Nondurable Goods

About the position

The Data Scientist role at Sysco involves applying advanced analytics to enhance demand generation, assortment, costing, pricing, and supply chain models. The position requires expertise in data acquisition, cleansing, manipulation, and mathematical modeling, along with the ability to synthesize and communicate analytical results effectively. Collaboration with various functions within the Enterprise Analytics and Insights Team is essential to ensure the successful implementation of models and strategies.

Responsibilities

• Identify necessary data elements and their sources, leveraging appropriate tools to acquire and consolidate large volumes of data from different internal and external sources.
• Identify and use appropriate advanced analytic tools, technologies, and platforms to execute analysis against business requirements, including the ability to scale, deploy, and distribute models across the enterprise as needed.
• Develop performance scorecards and dashboards to monitor the adoption, implementation, and impact of models and strategies.
• Work cross-functionally with other roles within the Enterprise Analytics Team and Sysco broadly to tune models and ensure value created from models.
• Collaborate with business process owners to validate model outputs and construct appropriate training.

Requirements

• Master's degree or PhD in mathematics, statistics, computer science, or a related field; or Bachelor's degree with 3 years of industry experience in management consulting, strategy, or analytics.
• 1-4 years of overall analytics experience, which can include post-graduate work.
• 2+ years of experience accessing and manipulating data in SQL or NoSQL database environments.
• 1+ years of experience with scientific scripting languages (e.g., Python) and/or object-oriented programming (e.g., C++, Java).
• 2+ years of experience with Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning, or time-series analysis.

Benefits

• Competitive salary
• Permanent position