Manager, Data Science

Last updated 3 days ago
Location:Louisville, Kentucky
Job Type:Full Time

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A career at Brown-Forman is just like a good bottle of bourbon: unique and refined, with a bit of a kick. Making our products from barrel to bottle requires detailed planning along each step. Just like bourbon production, our employees work in many different aspects to create the best possible product. This way, our customers can enjoy the world-class brands we promise to deliver. Here’s the kicker - we, too, get to enjoy this process, just one of the sweet benefits of leading the market with the world’s favorite whiskey. Whether in the ground, in the store, or in the office, we hand pick all of our ingredients in order to be proud of what we achieve.

Why does this job exist?

This position is responsible for helping to build out an analytics team that continues to drive business decisions. As a manager of a team of data scientists, this position will develop and train data scientists to strengthen the capabilities of data science and advanced analytics throughout the organization. This position partners closely with other members of the Global Advanced Analytics Leadership Team, to ensure analytics and tools are successfully designed and implemented with end-user needs in mind. Data Science Manager partners closely with the business intelligence and data management teams within IT. This position is responsible for helping to build out an analytics team that continues to drive business decisions. As a manager of a team of data scientists, this position will develop and train data scientists to strengthen the capabilities of data science and advanced analytics throughout the organization. This position partners closely with other members of the Global Advanced Analytics Leadership Team, to ensure analytics and tools are successfully designed and implemented with end-user needs in mind. Data Science Manager partners closely with the business intelligence and data management teams within IT.

What you can expect:

The Manager, Data Science will lead in:


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).

  • Developing and designing new methodologies against new data to incorporate into existing processes and developing new tools for new processes with the inclusion of said data.

  • Designing and prototyping contextually relevant visualizations and dashboards for actionable intelligence and data-informed decision-making using RStudio Connect, Tableau, and any other reporting environments as necessary.

  • Presenting, visualizing and depicting the deductions and rationale of findings in clear, easy-to-understand and engaging ways.


Strategic Data Acquisition

  • 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.


Education and Partnerships

  • Define, build, 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 new areas of Brown-Forman.

  • Research and provide thought leadership on advanced analytical tools and methods to meet the identified requirements for specific commercial projects.

  • Develop and train new skills within the Data Science team to strengthen our processes and deliverables.

  • Assist in the development of educational products on best practices and new approaches in Data Science.

  • Develop analytical tools and methods, as well as support special projects delivered to functional teams across the organization.

  • Help define and lead strategy in making data science easy and accessible to all.

  • Assist in managing and implementing strategic and advanced analytics solutions throughout all regions of the business.

We are looking for people who have:

  • Bachelor’s Degree in economics, statistics, or quantitative and analytically-oriented education with 7+ years of experience in developing statistical models in a global organization OR Master’s Degree in economics, statistics, or quantitative and analytically-oriented education with 4+ years of experience in developing statistical models in a global organization.

Technical Qualifications: Applicants should have most of the following qualifications. Strengths in some areas may offset weaknesses in others.

  • Advanced experience in Microsoft Office Suite (Outlook, Excel, Word, Access, PowerPoint).

  • Advanced experience in one or more scripting languages such as Python, R, STATA, SAS, SPSS, etc.

  • Advanced experience using and interpreting machine learning and deep learning techniques using Keras, TensorFlow, H2O, etc.

  • 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.

  • Advanced experience in data warehousing tools such as Hadoop, Hive, and Impala as well as using SQL to interact with relational databases.

  • Advanced knowledge of Nielsen or IRI scan data.

  • Advanced knowledge of retailer/sales data.

  • Advanced knowledge of shopper and consumer data.

  • Strong experience building interactive web applications for business end users.

  • Strong experience interfacing with the Business Intelligence and data warehousing operations of an industry-leading company.

Management Qualifications:

  • Ability to manage multiple projects covering wide variations in methodologies.

  • Experience managing a team of highly skilled professionals

  • Ability to work independently and autonomously while still assisting analysts on their projects.

  • Flexibility to adapt to new/unfamiliar tools and problems.

  • Disciplined entrepreneurship within a team-oriented environment.

  • High standards, deep passion for Data Science and analytics, and a commitment to find out ways to make things work.

  • Open, analytical, strategic and problem-solving mindset.

  • Decision making capability using data-driven insights.

  • Ability to build data-driven features for well-designed applications.

  • Passionate about participating in the evolution of Brown-Forman technologies and technology practices, pitching new techniques and technologies, participating in workshops to learn new skills, and passing on data skills to others.

  • Ready to work collaboratively, and proactively define requirements to solve real, specific business problems.

  • Excellent oral and written communication skills.

  • Serve as a strategic thought partner to the marketing teams and finance leadership.


What sets you apart: We are looking for a unique candidate with a combination of technical capabilities and people leadership experience. The ideal candidate will have experience writing code, developing models, and collaborating with team members to develop best in class models, analytical tools, and applications. The ideal candidate will also be able to lead a team of Senior Data Scientists as their people leader.​

What we are looking for the following capabilities in a high caliber candidate:

  • Analytical

  • Decision Making

  • Influence

  • Building Relationships

  • Storytelling

Location: Louisville, KY

Salary Grade: 31 4B (STI)

Reports to: Director, Advanced Analytics

Number of Direct Reports: 4

*For this position, relocation assistance to the Louisville, KY area may be provided as necessary.

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Requisition Type:

Employee

Number of Openings Available:

1