Sysco sells, markets, and distributes food products to restaurants, hotels, and other hospitality businesses. The Data Scientist role involves applying advanced analytics to support the evaluation and development of new models for demand generation, pricing, and supply chain, requiring expertise in data manipulation and collaboration across teams.
Identify necessary data elements and their sources, leverage appropriate tools to acquire and consolidate large volumes of data from different internal and external sources, and identify and resolve any irrelevant, corrupt, missing, or incongruent data
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 the Sysco broadly to tune models and ensure value created from models.
Work with Business Technology resources on API, front end, and down stream integration.
Collaborate with business process owners to validate model outputs and construct an appropriate training
Qualification
Required
Master’s degree or PhD or Bachelor’s degree + 3 years of industry experience in management consulting, strategy, analytics, at a specialized analytics company or in an analytics organization in a corporate setting.
1-4 years of overall analytics experience, can be inclusive of 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 required
Experience accessing and manipulating data in SQL or NoSQL database environments
Experience with scientific scripting languages (e.g., Python) and/or object-oriented programming (e.g., C++, Java)
Experience with regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis required
Preferred
Degree should be in mathematics, statistics or computer science or related field; preferred from a top tier University.
Benefit
Sysco sells, markets, and distributes food products to restaurants, hotels, and other hospitality businesses.
