Senior Data Scientist
vor 1 Woche
We are seeking a highly skilled Senior Data Scientist to join our team at Red Bull. As a key member of our Data Science team, you will play a critical role in driving business decisions through data-driven insights.
Key Responsibilities:
- Contribute to global Data Science projects to enable business stakeholders to make better data-driven decisions.
- Work closely with other team members and business stakeholders to build, run, and improve data science products.
- Focus on statistical analyses to solve ad-hoc business problems to generate impact.
- Responsible for innovation – introducing new data-driven business ideas, new statistical methods, new data products, or supporting new business processes.
Delivering Projects
You will 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. Your main focus within the data science projects will be machine learning modeling.
Driving 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.
Stakeholder Management
You will build close relationships with internal and external stakeholders. Thanks to your collaborative attitude and ability to absorb constructive feedback, you will maximize the likelihood of making each and every Data Science initiative a success for the company.
Supporting Colleagues
You will work inside the Data Science Team and support them with theoretical and applied understanding of Stats, Probability, and ML Algorithms to ensure top-notch quality in data modeling and stats-related topics. In your new role, you will take responsibility for developing conceptual, logical, and physical statistical/ML models that support various data-driven projects and ensure consistency with the data standards used across the organization.
Qualifications
- 4+ years of experience in Data Science. Previous experience working as a Machine Learning Expert is a plus.
- Masters or Doctorate in a relevant field, for instance: Mathematics, Statistics, Science (including data, behavioral, social, econ,...).
- Good command of English, both spoken and written. German a plus.
- Previous experience managing a team 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, 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.
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