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Data Scientist



Job Family


For over 80 years, GfK has been a reliable and trusted insight partner for the world’s biggest companies and leading brands who make a difference in every consumer’s life - and we will continue to build on this. We connect data, science and innovative digital research solutions to provide answers for key business questions around consumers, markets, brands and media. With our headquarters in Germany and a presence in around 60 countries worldwide, you benefit from our global company with a diverse community of ~9,000 employees.

Harnessing the power of our workforce, the greatest asset we have is our people. As part of GfK, you can take your future into your own hands. We value talent, skills and responsibility and support your development within our international teams. We are proud of our heritage and our future: Currently we are in the latter stages of a transformational journey from a traditional market research company to a trusted provider of prescriptive data analytics powered by innovative technology. This is only possible with extraordinary people and this is why we are looking for YOU to help create our future. For our employees as well as for our clients we pursue one goal: Growth from Knowledge!

Job Description

Our employees, the shapers of tomorrow, are empowered to bring new bold ideas to life by connecting unique datasets, science, and digital research. We encourage innovation and offer global career and fast development opportunities. This is why the world’s largest companies and leading brands know GfK as their trusted partner.

Reporting to our Senior Head of Data Quality also based in Nuremberg, the Data Scientist plays a crucial role in remotely supporting our panel business in Denmark with a focus on our Consumer Voice (CV) solutions in the Nordics. The Data Scientist provides the data expertise for the CV business in the Nordics by creation and execution of complex statistical analyzes that are required for reporting purposes or for answering in-depth clients questions. The Data Scientist, designs and rolls out appropriate data science & machine learning models, ensures data is valid and mitigates reporting 'gaps' as well as continually strives for data quality through constant data improvement initiatives and the resulting education of CV colleagues.

You're good at:

  • Supporting research focused colleagues with data expertise and are capable of doing this remotely
  • Analysing panellist's behaviour in order to properly calibrate data (weighting, benchmarking, response weighting, penetration correction)
  • Investigate new possibilities for combining new data with legacy data
  • Identifying and mitigating data gaps
  • Creating and improving methods and tools, and contribute to best practices in the area of Data Sciences
  • Presenting Data Sciences expertise at conferences and workshops
  • Developing, implementing and standardizing Data Science solutions
  • Designing, developing and implementing data science and machine learning models via proof-of-concepts & prototypes (e.g. notebooks, webapplications)
  • Consulting internal clients on Data Science related issues
  • Fostering Data Science related knowledge exchange
  • Supporting in the development of talent and organization of required trainings

You can bring:

  • Solid knowledge of analytic programming languages (e.g., Python, R) and the respective tool ecosystem (R-Studio Server, Zeppelin, Jupyter)
  • Basic skills with regard to performance optimization and scalability (e.g., parallelization, code optimization, containerization, function as a service)
  • Solid skills with regard to database handling, in particular SQL, NoSQL
  • Expert statistical modeling skills (e.g, predictive models)
  • Solid knowledge of optimization and / or machine learning algorithms and / or deep learning algoritms
  • Basic understanding of Big Data Architectures
  • Basic knowledge of cloud computing environments and tooling (AWS, Azure)
  • Basic skills in open data sourcing
  • Basic skills in open source software sourcing (e.g., Apache, Anaconda, GitHub,…)
  • Ability to think creatively in addressing analytical objectives
  • Good English language skills (spoken & written)
  • PhD or Master degree that reflects strong modelling and statistics skills.
  • Typically 2+ years of work experience

What we offer you - our benefits in Germany*:

  • Flexible working hours + hybrid working model (max. x2 days p/w in the office)
  • 30 days vacation + 24.12. & 31.12.
  • Employer-funded pension
  • Health management, e.g. free sports courses, mental health programs, in-house fitness studio, company doctor, health checks
  • Parent-child office, KiTa cooperation, summer camps, etc.
  • Comprehensive development and learning programs
  • Company events, after work, lounges & game zones, wellness room and massage service

*Location dependent

We are an ethical and honest company that is wholly committed to its clients and employees. We are proud to be an inclusive workplace for all and are committed to equal opportunity in employment which focuses on all of our employees reaching their full potential. At GfK we work collaboratively with our colleagues but offer a flexible working approach, including dividing our time between office & remote working as well as the opportunity to flex our working hours around team core hours.

We offer an exciting work environment that brings people together. We encourage an entrepreneurial and innovative spirit. We make use of the latest digital technologies. We are looking for self-starters, who accept challenges and create solutions.

Can there be a better place to take center stage in the digital revolution? We are excited to get to know you!

Posted: 2 days ago

City: Warsaw, Nuremberg

Work Area: Operations

Job Time: Full Time

Requisition ID: R00018525