(Senior) Data Scientist - Statistics & ML Expert

Red Bull GmbH; Elsbethen; Vor Ort; EUR 60 000 - 80 000; Vollzeit

Zusammenfassung

A leading global brand in Salzburg is seeking a (Senior) Data Scientist to contribute to impactful global projects. The ideal candidate will have over 4 years of experience and a strong background in statistics and machine learning. Responsibilities include managing Data Science projects, engaging stakeholders, and delivering high-quality results to drive business impact. A competitive compensation package is offered, with an emphasis on diversity and inclusion in the workplace.

Qualifikationen

• 4+ years of experience in Data Science.
• Good command of English, German a plus.
• Ability to prepare datasets ensuring top quality.

Aufgaben

• Deliver Data Science projects end-to-end.
• Build relationships with internal and external stakeholders.
• Propose new ways to generate value for stakeholders.

Kenntnisse

Data Literacy

Statistical Reasoning

Presentation Skills

Stakeholder Management

Pragmatic Critical Thinking

Outcome Driven

Ausbildung

Masters or Doctorate in relevant field

Tools

R

Python

SQL

Jobbeschreibung

(Senior) Data Scientist - Statistics & ML Expert

Elsbethen, Österreich, Vollzeit

If you know the difference between correlation & causation, have an excellent understanding of classical probability & statistics as well as state of the art ML algorithms and want to drive real business impact at one of the most recognisable brands globally, this job is for you!

In this role, you'll contribute to global Data Science projects to enable stakeholders to make better data-driven decisions. As a Statistics & ML Expert you'll be responsible for the methodological aspects of Data Science projects in fields like statistical forecasting, network optimisation, quality assurance, sports analytics, and others. You know how and you know why specific Data Science methods & algorithms should be applied and you know how to develop new ones. Always aiming for highest quality results, you are also able to come up with pragmatic solutions if the situation demands it.

Your focus is not only on delivering (model) outputs, but you are also able to explain and present your results to both, a technical and non-technical audience. As a team player you'll support the team and the organisation with your expert knowledge.

RESPONSIBILITIES

• 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.
• STAKEHOLDER MANAGEMENT
• 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.
• DRIVE INNOVATION
• Not content focusing exclusively on existing service lines and initiatives, you will actively think along and propose new ways of generating even more value for our stakeholders.
• ORGANISATIONAL RESPONSIBILITIES
• You'll work inside the Data Science Team and you'll support them with impact tracking, project and pipeline planning, preparing materials for the planning cycles, internal trainings, onboarding new colleagues, internal and external outreach.

EXPERIENCE

Your areas of knowledge and expertise that matter most for this role:

• 4+ years of experience in Data Science. Previous experience working as a Machine Learning Expert is a plus
• Masters or Doctorate in relevant field, for instance: Mathematics, Statistics, Science (including data, behavioural, social, econ, ...)
• Good command of English, both spoken and written. German 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, visualization)
• 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
• 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 organization
• 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

Travel 0-10%

JOIN THE TEAM

Got what it takes?

In your application we want to see your personal style - what makes you tick and why you think your next opportunity is here with us.

Due to legal reasons, we are obliged to disclose the minimum salary according to the collective agreement for this position, which is EUR 2,691 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.