Head of Quantitative Research and Statistics (d / f / m)

Henkel; Düsseldorf; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

A global leader in consumer goods seeks a data science leader in Düsseldorf to manage and mentor a team of data scientists. The role includes developing analytics strategies, leading product transitions, and fostering a collaborative environment. Candidates should have a Master's degree in a STEM field, 8+ years in data science, and be fluent in English. The position offers flexible work arrangements and numerous employee benefits.

Leistungen

Flexible work scheme

Diverse growth opportunities

Wellbeing programs

Gender-neutral parental leave

Employee Share Plan

Company Pension Plan

Preventive Health Insurance

Mobility offer

Qualifikationen

• Master’s degree in a STEM field; PhD is a plus.
• Minimum 8 years of experience in data science.
• Expert knowledge in machine learning and statistical modelling.
• Excellent coding knowledge in Python, R, SQL.
• Fluent in English; German is a plus.

Aufgaben

• Lead and develop a team of data scientists.
• Determine business goals and derive analytics objectives.
• Plan transition from proof of concept to product.
• Lead product teams in executing data and analytics strategy.
• Act as a technical mentor and people’s manager.

Kenntnisse

Leadership

Data science

Collaboration

Machine learning

Deep learning

Scripting languages

Statistical modelling

Fluent English

Ausbildung

Master’s degree in a STEM field

Tools

Python

R

SQL

Spark

Jobbeschreibung

Overview

What you´ll do

• 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

Qualifications

• 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

Benefits

• Flexible work scheme with flexible hours, hybrid and work from anywhere policies
• Diverse national and international growth opportunities
• Globally wellbeing standards with health and preventive care programs
• Gender-neutral parental leave for a minimum of 8 weeks
• Employee Share Plan with voluntary investment and Henkel matching shares
• Company Pension Plan 100% financed by Henkel
• MEGA Preventive Health Insurance
• CareFlex Supplementary Care Insurancex
• Mobility offer: My Henkel Bike and Jobticket

At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We welcome all applications across different genders, origins, cultures, religions, sexual orientations, generations and disabilities. If there are any specific accommodations or adjustments you require for the interview process or your on-site appointment, please inform us, and we'll do our best to accommodate your requests.