Senior Data Scientist (Remote Work Location)

Last updated 15 hours ago
Location:Atlanta, Georgia, Baltimore, Maryland, Chicago, Illinois, Cincinnati, Ohio, Dallas, Texas, Indianapolis, Indiana, Louisville, Kentucky, Lynchburg, Tennessee, Remote Work eligible role (Home/Remote working available)
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.

Location: B-F Headquarters is in Louisville, KY however, we are considering candidates across the US for a remote work from home set-up.

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.

What you can expect:

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.

We are looking for people who have:

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.

Salary Grade: 29

Reports to: Director, Advanced Analytics

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

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Requisition Type:

Employee

Management Level:

Professional

Global Job Level:

P6

Number of Openings Available:

1