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Brown-Forman Senior Data Scientist in Louisville, Kentucky

For 150 years, Brown-Forman Corporation has enriched the experience of life by responsibly building fine quality beverage alcohol brands, including Jack Daniel’s Tennessee Whiskey, Jack Daniel’s RTDs, Jack Daniel’s Tennessee Honey, Jack Daniel’s Tennessee Fire, Gentleman Jack, Jack Daniel’s Single Barrel, Finlandia, Korbel, el Jimador, Woodford Reserve, Old Forester, Canadian Mist, Herradura, New Mix, Sonoma-Cutrer, Early Times, Chambord, BenRiach, GlenDronach and Slane. Brown-Forman’s brands are supported by over 4,700 employees and sold in more than 170 countries worldwide. For more information about the company, please visit https://www.brown-forman.com/.

The Senior Data Scientist will be expected to exhibit the following capabilities:

● Developing strong analytics based on sound statistical modeling processes.

● Providing strong stewardship around corporate resources .

● Continuing to look for data driven gains in operational efficiencies.

● Gaining a thorough understanding of the commercial and brand operations of the business.

● Partnering across the organization to identify strategic insights within all operating functions and geographies.

● Ability to leverage multiple sources of data and advanced tools to develop directive analytics which includes strong visualization of the data.

● Outstanding oral and written communication skills with the ability to discuss financial/business strategies and translate into actionable plans.

Responsibilities:

Data Visualization

  • Design, Implement, and Support Business Intelligence reporting using advanced data visualization and analytics tools, with a specific focus in Tableau.

  • Design and build publication-ready data visualizations using diverse sets of structured and unstructured data.

  • Monitor and resolve performance issues specific to dashboard development and delivery.

  • Lead the development of the organization’s visualization techniques.

Predictive Modeling & Machine Learning

  • Strategize in collaboration with functional teams to identify data-driven solutions to ongoing needs across the organization.

  • Collaborate with the various analytical teams within the organization to discover new and creative ways to solve leading-edge problems with predictive analytics.

  • Develop SQL code to build ETL jobs within Brown-Forman’s data lake environment.

  • Develop best-in-class statistical modeling techniques to collect, analyze and interpret data; utilizing both supervised learning through multivariate modeling as well as unsupervised learning techniques such as cluster analysis, decision tree and random forest modeling.

  • Build causal and predictive models utilizing statistical programming languages such as R based on integrated data of various structures from numerous sources stored in a SQL environment.

  • Design algorithms for building new data and features to expand modeling capabilities.

  • Assess models; provide proof and explanation for acceptance tests.

  • Create Deployment code for queries in R to run automatically on historic data and for systematic updates, and collaborate closely with the Business Intelligence team to deploy across the enterprise.

Cross-Functional Partnerships

  • Work in tandem with Business Intelligence to develop distributed computing capabilities to handle large-scale data storage and computation, and deployment of such a platform for analytical purposes.

  • Summarize insights from statistical models for use across the organization for strategic decision-making, allowing all areas of Brown-Forman to succeed within their respective functions.

  • Strategize in collaboration with functional teams to identify data-driven solutions to ongoing needs across the organization.

  • Move forward multiple projects by employing project management techniques.

Must Requirements:

Education & Professional Experience:

  • MA/MS in Economics, Statistics, Mathematics, Computer Science or related fields and 3+ years work experience or BA/BS in Economics, Statistics, Mathematics, Computer Science or related field and 5+ years of relevant work experience.

Technical Qualifications:

  • Extensive expertise in analyzing large, complex, multi-dimensional datasets with a variety of tools, and accomplished in the use of statistical analysis environments, with a specific focus in R.

  • Extensive experience with Tidyverse programming in R.

  • Experience with RStudio Server Pro, RStudio Connect, and using RMarkdown for creation of deliverables.

  • Experience with relational databases such as SQL and NoSQL, as well as Hadoop-based data mining frameworks.

  • Demonstrated ability to independently prepare sophisticated statistical analysis with accuracy and calibration within an established time frame.

  • Ability to read and understand mathematical formulae with the capability of applying new concepts to existing problem sets.

  • Understanding of both structured and unstructured data, the benefits of both, and when / how to apply them.

  • Experience applying statistical concepts and knowledge to real-world applications.

  • Extensive experience with Tableau, including proven record of driving adoption.

Additional Qualifications:

  • High degree of intellectual curiosity and a proactive self-starter to go looking for relevant questions to be answered, with the ability to provide objective and impartial analysis.

  • Excellent oral and written communication skills with the ability to discuss financial strategies and translate into actionable plans.

  • Team contributor who puts the success of the group ahead of personal ambitions.

  • Personal honesty and integrity, including ability to effectively handle confidential information.

  • Demonstrated interpersonal skills to develop and maintain effective work relationships with all levels of personnel.

  • A proven desire to improve processes and adapts well to an ever-changing and sometimes ambiguous environment.

  • The ability to work independently and execute responsibilities, at time in a heavy workload, deadline oriented environment; the willingness and ability to organize, implement and complete multiple tasks with limited direction; can maintain accurate documentation and perform quality work with accuracy and attention to detail.

Preferred Qualifications:

  • 2+ years commercial analytics experience, preferably within the Beverage Alcohol industry

  • MA/MS or MBA with specialty in Economics, Statistics, Mathematics, Computer Science, or related fields.

  • Previous knowledge with retail takeaway data such as Nielsen and IRI.

Salary Grade: 29

Location: Louisville, KY

*For this position, we are not able to offer a corporate relocation package. However, in some cases, there may be relocation assistance available.

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Brown-Forman Corporation is committed to equality of opportunity in all aspects of employment. It is the policy of Brown-Forman Corporation to provide full and equal employment opportunities to all employees and potential employees without regard to race, color, religion, national or ethnic origin, veteran status, age, gender, gender identity or expression, sexual orientation, genetic information, physical or mental disability or any other legally protected status.

Business Area: Global Information Technology

City: Louisville

State: Kentucky

Country: USA

Req ID: JR-00001374

Brown-Forman Corporation is committed to equality of opportunity in all aspects of employment. It is the policy of Brown-Forman Corporation to provide full and equal employment opportunities to all employees and potential employees without regard to race, color, religion, national or ethnic origin, veteran status, age, gender, gender identity or expression, sexual orientation, genetic information, physical or mental disability or any other legally protected status.

Accommodations available upon request including an Interpreter.

Applicants to and employees of this company are protected under Federal law from discrimination on several bases. Follow the links below to find out more.

EOE Minorities/Females/Protected Veterans/Disabled/ Sexual Orientation & Gender Identity

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