(senior) Data Scientist - Sports Performance Analytics

Data Scientists: Do you have the required skills and passion to drive real impact at one of the most recognisable brands globally?

In this role, you'll contribute to global Data Science projects to enable business stakeholders to make better data-driven decisions. You'll work closely with other team members and business stakeholders to build, run, and improve data science products. You'll focus on statistical analyses to solve ad-hoc business problems to generate 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.

RESPONSIBILITIES Areas that play to your strengths

All the responsibilities we'll trust you with:

DELIVER PROJECTS PART OF EXISTING DATA SCIENCE SERVICE LINES

You'll support the team by efficiently managing, running, and delivering Data Science projects. This end-to-end approach includes everything from project scoping, execution, quality assurance, and delivery via convincing presentations.

DRIVE INNOVATION

Not content focusing exclusively on existing service lines and initiatives, you'll actively think along and propose new ways of generating even more value for our stakeholders.

STAKEHOLDER MANAGEMENT

You'll build close relationships with internal and external stakeholders. Thanks to your collaborative attitude and ability to absorb constructive feedback, you'll maximise the likelihood of making each and every Data Science initiative a success for the company.

ORGANISATIONAL RESPONSIBILITIES

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, and many more.

EXPERIENCE Your areas of knowledge and expertise

that matter most for this role:

• 4+ years of work experience in Data Science or in a related field; experience in sports (performance) analytics is a plus.
• Programming: know at least one of R, Python, SQL with the ability and willingness to learn the other two
• Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly
• Statistical Reasoning: theoretical and applied understanding of Stats, Probability and ML Algorithms and know how to use these tools to reduce uncertainty in a business context (regression, visualisation)
• Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …)
• Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience
• Stakeholder Management: skilled at building mutually beneficial connections with functional stakeholders is a plus
• Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly
• Outcome Driven: highly motivated to add value and to demonstrate that impact to the organisation
• Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones
• Grit: proven capability to see things through to the end even if initial feedback is discouraging
• Good command of English, both spoken and written. German a plus