Über diesen Job

Do you have the required Data Science skills to drive real impact at one of the most recognizable 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:

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. Your main focus within the data science projects will be machine learning modelling.
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.
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.
You'll work inside the Data Science Team and you'll support them with theoretical and applied understanding of Stats, Probability and ML Algorithms to ensure top notch quality in data modelling and stats related topics. In your new role, you'll take responsibility for developing conceptual, logical, and physical statistical/ML models that support various data-driven projects and you make sure to ensure the consistency with the data standards used across the organisation. Therefore, taking responsibility in translating an idea into a mathematical model is key. You'll design, develop, and maintain statistical/ML models within a data-driven platform. Finally, you'll work in close collaboration with architects, engineers, product owners, and data experts.

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
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