Data Scientist (Sales & Marketing Focus)

Red Bull; Elsbethen; On-site; EUR 25,000 - 30,000; Full time

Job summary

Red Bull Data Service GmbH in Austria seeks a Data Scientist to drive impact across Sales, Marketing and HR by delivering data products and statistical analyses. You will manage data science projects from scoping to delivery, scale initiatives with IT, and collaborate with external consultants while building data stories for stakeholders.

A minimum of 2+ years in data science, Python and SQL, and familiarity with Snowflake, dbt, and modern data tooling is expected.

Qualifications

• 2+ years of professional experience as a Data Scientist or similar role.
• Proficiency in Python and SQL; Snowflake is a plus.
• FMCG knowledge is advantageous in a data or analytics role.
• Data literacy to interpret data and communicate insights clearly.
• Statistical reasoning to apply regression and visualization techniques.
• Technical literacy with modern computing tools beyond core data science.
• Experience with version control (Git), data transformation tools (dbt), and lightweight app frameworks (Streamlit/Shiny) is a plus.
• Strong presentation skills to tell data stories to varied audiences.
• Stakeholder management and collaboration across functions.
• Pragmatic critical thinking, value-driven decision making, and perseverance.
• Scientific reasoning with ability to scope questions and derive insights.
• Grit to see projects through to completion.

Responsibilities

• Deliver projects as part of existing data science service lines.
• Scale initiatives with IT colleagues to reach more stakeholders and markets Red Bull operates in.
• Drive innovation by proposing new data-driven ideas and methods.
• Manage external consultants to ensure high-quality delivery.
• Build relationships with internal and external stakeholders and present outcomes.
• Support the Data Science Manager with planning, onboarding, and communications.

Job description

• Full-time
• Travel: 0-10
• Organization: Red Bull Data Service GmbH
• Job type: Permanent

Company Description

Do you have the required Data Science skills to drive real impact at one of the most recognisable brands globally?

You'll contribute to Global Data Science projects to enable business stakeholders from various departments incl. (Sales, Marketing, HR) to make better data-driven decisions. The Data Scientist will work closely with other team members to build and run data products, apply statistical analyses to solve business problems that generate impact, and create convincing presentations to demonstrate said impact to the wider organisation.You'll also be responsible for innovation by introducing new data-driven business ideas, new statistical methods, new data products, or by supporting new business processes.

Job Description

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.

Qualifications

2+ Years of professional experience as a Data Scientist or similar role.

Programming:knowledge and practical experience withbothPythonandSQL.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.

Additional Information

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.