Data Scientist (Production & Quality focus)

Job Description

DELIVER PROJECTS AS PART OF EXISTING DATA SCIENCE SERVICE LINES

You'll support the team by efficiently managing, running, and delivering Data Science projects with a key focus on production and quality stakeholders. This end-to-end approach includes everything from project scoping, execution, and quality assurance to delivery via one-off analysis presentations or scaled data science products.

DRIVE INNOVATION

Not content focusing exclusively on existing service lines and initiatives, you'll actively innovate and propose new ways of generating even more value for our stakeholders.

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.

ORGANISATIONAL RESPONSIBILITIES

You'll work together with the Data Science management team and support them with impact tracking, project and pipeline planning, preparing materials for the planning cycles, internal trainings, onboarding new colleagues, internal and external outreach

Qualifications

4+ years of experience in Data Science or in a related field; experience in production and quality analytics 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 is a strong plus.

Programming: know at least one of R, Python, SQL with the ability and willingness to learn the other two

Data Literacy: ability to curate and present data in a way that allows stakeholders to quickly understand key patterns, insights, and implications for decision-making

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 (e.g. regression, visualisation)

Technical Literacy: applied understanding of modern computing to do things which go beyond the strict definition of Data Science (Git, API calls, web crawling, prompt engineering…)

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 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 2,446 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.

Company Description

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

 

In this role, you'll contribute and lead global Data Science projects in the production and quality space, enabling stakeholders to make better data-driven decisions. You will work closely with other team members and production, quality assurance and risk management stakeholders to build, run, and improve data science products. You will focus on statistical analyses to solve ad-hoc business problems to generate impact, as well as contribute your valuable project management expertise to drive projects from idea to 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.