Brown-Forman Corporation is looking for a Lead Data Scientist to provide thought leadership in advanced analytics, develop new tools and algorithms, and create process-oriented, cross-functional analytics to inform business decisions and solve business problems.
Requirements
- Advanced experience in R or Python with familiarity of both.
- Advanced experience with SQL and data warehousing tools & techniques.
- Advanced experience using and interpreting machine learning, statistical modeling, and linear optimization.
- Advanced experience in scalable computing for the purposes of expanding machine learning and data mining techniques.
- Advanced experience in data visualization tools such as Tableau, PowerBI, Alteryx, Qlik, etc.
- Strong experience building data solutions and interactive web applications for business end users.
- Experience with git and version control software & tools.
Responsibilities
- 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.
- 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.
- 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.
Other
- Bachelor’s Degree in economics, statistics, or quantitative and analytically-oriented education, and 6+ years of experience in developing data science solutions in a global organization OR Master’s Degree in economics, statistics, or quantitative and analytically-oriented education, and 4+ years of experience in developing developing data science solutions in a global organization.
- Ability to manage multiple projects through prioritization.
- Experience collaboratively leading end-to-end projects.
- Ability to work independently and autonomously.
- Serve as a strategic thought partner to both IT & Business Stakeholders.
