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