DELIVER PROJECTS PART OF EXISTING DATA SCIENCE SERVICE LINES
You will support the team by efficiently managing, running, and delivering Data Science projects with a key focus on our Sales, Marketing and HR stakeholders. This end-to-end approach includes everything from project scoping, execution, quality assurance, and delivery via convincing presentations.
SCALE EXISTING DATA SCIENCE INITIATIVES
You will work together closely with IT colleagues to find efficiencies allowing us to scale our initiatives to more people and more Red Bull markets.
DRIVE INNOVATION
Not 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.
MANAGE EXTERNAL CONSULTANTS
You'll manage our external colleagues and guide them to deliver Data Science projects in an efficient manner, ensuring top notch quality.
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.
SUPPORT THE DATA SCIENCE MANAGER WITH CORE RESPONSIBILITIES
You'll work inside the Data Science Team and will support them with impact tracking, projects, pipeline planning, preparing materials for the planning cycles, internal trainings, onboarding new colleagues, internal and external outreach and more.
2+ Years of professional experience as a Data Scientist or similar role.
Programming: knowledge and practical experience with both Python and SQL. Snowflake is a plus.
FMCG Knowledge: prior experience working at an FMCG company in a data or analytics focused role a plus.
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: applied understanding of Stats and Probability 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, …).
Data Tooling: experience with version control (e.g., Git), familiarity with data transformation tools (e.g., dbt) and exposure to lightweight application frameworks (e.g., Streamlit, Shiny) is a plus.
Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience.
Stakeholder Management: good at building mutually beneficial connections with functional stakeholders.
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.
Due to legal reasons, we are obliged to disclose the minimum salary according to the collective agreement for this position, which is EUR 2,504 gross per month. However, our attractive compensation package is based on market-oriented salaries and is therefore significantly above the stated minimum salary.
As an employer, we value diversity and support people in developing their potential and strengths, realizing their ideas and seizing opportunities. We believe passionately that employing a diverse workforce is central to our success. We welcome applications from all members of society irrespective of age, skin colour, religion, gender, sexual orientation or origin.