Lead Data Scientist

We believe great people build great brands. And we know there is Nothing Better in the Market than a career at Brown‑Forman. Being a part of Brown‑Forman means you will grow both personally and professionally. You will have the opportunity to solve problems, seize opportunities, and generate bold ideas. You will belong to a place where teamwork matters and where you are encouraged to bring your best self to work.

At Brown‑Forman, we believe in recognizing the bold ideas, ethical decisions, and winning results that make the company’s short‑ and long‑term success possible. This recognition comes in many forms, to include your base salary, holiday bonus, and any incentives you may earn. We create an environment that nurtures and prioritizes continuous learning. You are empowered to take charge of your own development with a variety of customized, award‑winning programs available for every step of your career journey.

Being a part of Brown‑Forman means you will grow both personally and professionally. You will have the opportunity to solve problems, seize opportunities, and generate bold ideas. You will belong to a place where teamwork matters and where you are encouraged to bring your best self to work.

The position will be responsible for thought leadership in advanced analytics and the development of new tools and algorithms to provide process‑oriented, cross‑functional analytics that inform business decisions and assist in developing solutions to business problems. The position will initiate and lead collaborative efforts with key stakeholders to find innovative applications for advanced analytics and implement sustainable tools that are used regularly by the corporation to support business decisions.

As a Lead Data Scientist, this position will lead development of end‑to‑end solutions that are leveraged throughout the organization. Lead Data Scientists partner closely with business stakeholders and with the business intelligence and data management teams within IT.

• Statistical Modeling and Data Visualization:
  The development of the design, build‑out, and implementation of sophisticated modeling techniques to help solve key business problems for global partners.
• Identifying and developing highly efficient computer programming techniques to execute on modeling and analytical functions.
• The implementation of a process‑oriented approach of data science for Brown‑Forman to help drive success long term.
• Lead design for new and existing data sources to help the organization build new data sets and build deeper modeling techniques for revenue management, mixed media modeling, demographic research, production efficiencies, etc. across all business functions.
• Developing tools and methods to collect new information from new sets of data, helping to push the organization further in exploration and gathering of ‘big data’ – both structured data (e.g. takeaway, depletions, consumer demographics) and unstructured (e.g. text mining, natural language processing).
• Designing and prototyping contextually relevant visualizations, dashboards, and tools enabling data‑informed decision‑making using R, Python, SQL, Tableau, and other appropriate tools.
• Presenting, visualizing and depicting the deductions and rationale of findings in clear, easy‑to‑understand and engaging ways.

• Designing and developing methodologies to access and aggregate new data that has been identified in conjunction with cross‑functional partners.
• Designing and developing data schematics across existing and new sources of data to combine and build new databases for the organization to utilize.
• Auditing existing data systems to identify gaps in coverage against known business requirements or identifying new sources of information that may help reduce the overall cost.
• Making strategic recommendations on data collection and integration.

• Exemplify and support best practices for Data Science across the organization.
• Champion the use of advanced analytical techniques throughout the organization and identify new opportunities to embed Data Science in…