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Brown-Forman Senior Data Scientist in Sydney, Australia

Our Company:

For nearly 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 & Cola, 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, Coopers’ Craft, Canadian Mist, Herradura, New Mix, Sonoma-Cutrer, Early Times, Chambord, BenRiach, GlenDronach, Slane and Fords Gin. Brown-Forman’s brands are supported by approximately 4,700 employees and sold in more than 170 countries worldwide.

Our Australian team of 150 people, work in regional and city locations throughout the country, with offices in Sydney (Head Office), Melbourne, Brisbane and Perth.

Your new role:

This new position will be responsible for leveraging multiple sources of data and advanced tools to develop directive analytics, including a strong visualisation of the data. Working with our global analytic team, you will partner with our various functions to identify strategic insights, developing strong analytics and seeking data driven gains in operational efficiencies.

Duties & Responsibilities:

Data Visualisation

  • Design, implement, and support Business Intelligence reporting using advanced data visualization and analytics tools such as Tableau.

  • Develop Brown-Forman’s data visualisation techniques, designing diverse sets of structured and unstructured data.

Predictive Modeling & Machine Learning

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

  • Develop statistical modeling techniques to collect, analyse and interpret data

  • Build causal and predictive models utilising statistical programming languages such as R and Python 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 and R/Python to run automatically on historic data and for systematic updates

  • 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.

Cross-Functional Partnerships

  • Summarise insights from statistical models for use across the organisation for strategic decision-making.

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

  • Assist in the delivery of multiple projects by employing project management techniques.

About you:

Technical Skills

  • Expertise in analysing large, complex, multi-dimensional datasets with a variety of tools, and accomplished in the use of statistical analysis environments such as R, MATLAB, SPSS, Stata or SAS.

  • Experience with general programming environments such as Python, Java and C/C++ strongly preferred.

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

  • Extensive experience with data visualization tools such as Tableau, including proven record of driving adoption.

  • Solid experience of Hue / Talend / Cloudera platforms

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

  • Strong understanding of both structured and unstructured data and the ability to understand mathematical formulae to apply new concepts to existing problem sets.

Additional requirements

  • Degree qualification in Economics, Statistics, Mathematics, Computer Science or a related field

  • Proactive self-starter confident, with high level verbal and written communication skills with the ability to translate strategy into action plans

  • Demonstrated interpersonal skills to develop robust working relationships with all levels

  • Strong experience in working to timeframes, completing multiple tasks and performing with high level of accuracy and attention to detail.

  • Austrian Citizenship or Permanent Residency is required to be considered for this role

Our Culture:

Brown-Forman believes that everyone should be their authentic selves in our workplace. We strive to create an inclusive culture that empowers individuals to contribute their uniqueness. Together, our diversity is what makes our business great.

We are an equal opportunity employer, supporting a diverse and inclusive workplace. We won the AHRI 2018 Award for LGBTI Inclusion and the Australian LGBTI 2018 Award for Organization of the Year. We are also a Work180 Female preferred employer. We encourage applications from all backgrounds.

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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 Finance

City: Sydney

State: New South Wales

Country: AUS

Req ID: JR-00000873

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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