The Director of Data Science is responsible for leading the Red Bull North America (RBNA) Data Science team in close collaboration with the Red Bull Global Headquarters (RBHQ) Data Science department to deliver the most exciting data-driven shareholder value adding initiatives for our market.
You will be responsible for partnering with business leaders and Global Data Science to help enable the long-term strategy, development, and execution of Data Science assets to optimize the use and value of data solutions across the organization.
This includes becoming a trusted partner to the local and global business partners and building a team that can translate business questions into analytical problems and offer Data Science services into production that support ongoing decision-making.
A key success factor will be the ability to translate and implement RBHQ Data Science concepts according to the needs and constraints of the North American market.
Apply now, read the job details by scrolling down Double check you have the necessary skills before sending an application.
We're looking for someone with solid experience managing applied statistics, advanced analytics, and last-mile implementation projects who can also interface directly with senior stakeholders in the business and be the outward face of the local Data Science team as an extension of the Global Data Science department.
To be successful in this role, you must have a bias to action and a passion for being a stakeholder and contributor to overall business strategy.
You should feel strongly about measuring the results of Data Science efforts and challenging the status quo when necessary.
Finally, you should be an expert at balancing the trade-off between full ownership and harmonious collaboration between the various stakeholders, including the Global Data Science teams.
Qualifications :
- 7+ years' relevant work experience
- 5+ years' experience leading and scaling teams of data scientists
- Robust, fundamental expertise in areas of statistical methods, data engineering, data literacy, and AI (not focused on LLMs / GenAI)
- Flexibility to operate across technologies and ability to work on both complex large-scale projects and smaller quick-win initiatives
- Strong programming skills (R, Python, SQL)
Additional Information :
- Travel 20-30%
- Permanent
- Benefits eligible
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