You'll support the team by efficiently managing, running, and delivering Data Science projects with a key focus on production and quality stakeholders. This end-to-end approach includes everything from project scoping, execution, and quality assurance to delivery via one-off analysis presentations or scaled data science products.
Do you have the required Data Science skills to drive real impact at one of the most recognisable brands globally?
In this role, you'll contribute and lead global Data Science projects in the production and quality space, enabling stakeholders to make better data-driven decisions. You will work closely with other team members and production, quality assurance and risk management stakeholders to build, run, and improve data science products. You will focus on statistical analyses to solve ad-hoc business problems to generate impact, as well as contribute your valuable project management expertise to drive projects from idea to impact. Finally, never content with the status-quo, you will also be responsible for innovation – for instance by introducing new data-driven business ideas, new statistical methods, new data products, or by supporting new business processes.
All the responsibilities we'll trust you with:
Not content focusing exclusively on existing service lines and initiatives, you'll actively innovate and propose new ways of generating even more value for our stakeholders.
You'll build close relationships with internal and external stakeholders. Thanks to your collaborative attitude and ability to absorb constructive feedback, you will maximise the likelihood of making each and every Data Science initiative a success for the company.
You'll work together with the Data Science management team and support them with impact tracking, project and pipeline planning, preparing materials for the planning cycles, internal trainings, onboarding new colleagues, internal and external outreach
RELATED OPPORTUNITIESLooking for something else?
Select your location
Red Bull stands for individuality, authenticity and creativity. This is also what we expect from our employees. If you'd like to become part of Red Bull, bring your true and unique self to the application process.
Finding the right person for a role requires a thorough selection process. We may require a personality assessment, a video and/or in-person interview, an assignment or even a job simulation. The hiring team will share details of the process in advance.
Throughout your recruitment journey, you’ll come across moments where using AI could be an option. We encourage you to approach this with the same freedom & responsibility we offer our employees. Our recruitment process is all about getting to know you as an individual - what makes you unique, your strengths, your passions. You might use AI to polish your resume or prepare for interviews but remember nothing beats real human connection. When it comes to Red Bull Wingfinder or a video assessment, we want to see and hear your personality and feel the energy you bring. Likewise, think of a Case Study as more than just a task. It’s your chance to show us what you can really do, experience the role, and assess if it’s the right fit for you. By relying on AI, you risk missing the chance to truly stand out!
Once you submit your application, you will receive an acknowledgement email. Afterwards you can expect to hear from us within two weeks.
During the interview process you will have the chance to gauge your talents and show your drive and motivation. The hiring team will ask you about your experiences, skills and strengths that are most relevant to the job in order to get a good picture of your profile and your unique selling points.