Data Scientist

This role will apply advanced analytics to support the evaluation and development of new demand generation, assortment, costing, pricing, and supply chain models. This will require expert ability in data acquisition (internal and external to Sysco), cleansing and manipulation; mathematical modeling; analytical and heuristic solution methods; and the ability to synthesize, visualize and communicate the result. This role will require close collaboration with other functions within the Enterprise Analytics and Insights Team in addition to other functions within Sysco.

Responsibilities:

• 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 downstream integration.
• Collaborate with business process owners to validate model outputs and construct an appropriate training.

Qualifications:

• 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.
• Degree should be in mathematics, statistics, computer science, or a related field, preferred from a top-tier university.
• 1-4 years of overall analytics experience, 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.