Senior Data Scientist - GSC - US

Predictive Analytics Lead

Overtime, this role will own one of the five core predictive engines for Sysco. Each engine will have multiple models as components. To lead the development of this engine, the role will require expert ability in mathematical modeling; analytical and heuristic solution methods; the ability to synthesize, visualize and communicate results; and create a tool at scale to drive the recommended course of action. This role will require close collaboration (with functions, operating companies, specialty companies or geographies and technology teams) to align around the sequencing of priorities and ensure the appropriate path to value. This role is expected to help create models in addition to coaching team members in model creation.

Ensure the data mined, cleansed, and engineered for models is accurate and appropriate.

Able to bring forward new and different data sets to help solve problems.

Own the multiple models associated with one of the five predictive engines of Sysco.

Identify and use appropriate advanced analytic tools, technologies and platforms to solve business problems, create the roadmap for the engine-sequencing models overtime, create or direct the creation of the models/algorithms needed, tune the models to ensure the appropriate business outcome.

Ensure the performance scorecards and dashboards created to monitor adoption, implementation, and impact of models and strategies are adequate and are being shared throughout the enterprise.

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 integrations.

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

Work with data scientists and associate data scientists to ensure the correct data sets, calculations and analytic method being employed to solve a given problem.

Act as a magnet for data science talent.

Publish a paper and speak ~1 a year at a conference to ensure Sysco is top of mind of emerging data science talent.

Education and/or Experience: Bachelor's degree + 5 years or Master's degree + 3 years or PhD + 2 years of industry experience in management consulting, strategy, analytics, at a specialized analytics company or in an analytics organization in a corporate setting.

4+ years of experience accessing and manipulating data in SQL or NoSQL database environments

2+ years of experience with scientific scripting languages (e.g., Python) and/or object-oriented programming (e.g., C++, Java)

3+ years of experience with Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis required

7-10 years of overall analytics experience can be inclusive of post-graduate work

Excellent listening, written, and verbal communication skills, with the ability to create alignment across a diverse set of stakeholders

Executive-level presentation skills, with the ability to tailor communication for specific audiences and the ability to motivate and empower team

Excellent problem-solving skills, using an analytical and logical approach to solve complex problems

Self-starter that thrives in a fast-paced environment while delivering high quality and service levels

Strong business and technical acumen