Head of Quantitative Research and Statistics (d/f/m) at henkel
Düsseldorf, , Germany -
Full Time


Start Date

Immediate

Expiry Date

03 Dec, 25

Salary

0.0

Posted On

04 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

WHAT MAKES YOU A GOOD FIT

  • Master’s degree in a STEM field (e.g., physics, mathematics, bioinformatics, (computer) science); PhD is a plus
  • Minimum 8 years of experience in a data science or advanced analytics environment with a solid track record of delivering data science products from idea to deployment as well as eagerness to collaborate closely with non-technical teams
  • Expert knowledge and hands-on experience in at least one of the following data science areas: supervised or unsupervised machine learning, optimization, statistical modelling, deep learning, time-series analysis, graph analytics for big data; experience with GenAI/AgenticAI
  • Excellent coding knowledge in scripting languages (e.g., Python, R) and data processing frameworks (e.g., SQL, Spark, neo4j)
  • Fluent in English; German language skill is a plus
Responsibilities
  • Lead and develop a team of data scientists and take pride to solve the toughest business challenges and deliver high quality data products
  • Determine business goals and derive analytics objectives as well as translate objectives into a plan for your team, covering data collection, data preparation, statistical analysis, modelling, and algorithm development
  • Plan and execute transition from proof of concept to product together within cross-functional product teams
  • Lead product teams in the execution of our data & analytics strategy and use agile methods and establish an environment of constant learning, integrity, and mutual responsibility
  • Be passionate about exploring emerging technologies and leveraging their full potential as well as establish yourself as a data science ambassador across business units and functions
  • Be a technical mentor and people’s manager for your team and advance your group’s specialization and deepen your knowledge to claim thought leadership in data science
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