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(Senior) Data Scientist (d/f/m) - Job Opportunity at Henkel

Düsseldorf, Germany
Full-time
Senior
Posted: May 6, 2025
Hybrid
EUR 75,000 - 95,000 annually based on Düsseldorf market rates for senior data scientists in manufacturing sector

Benefits

Flexible Work Arrangements: Industry-leading hybrid model with 30 days work-from-anywhere policy
Health & Wellness: Comprehensive MEGA preventive health insurance and CareFlex supplementary coverage
Financial Benefits: Employee Share Plan with company matching and 100% company-funded pension plan
Work-Life Balance: Gender-neutral parental leave (8+ weeks)
Mobility Benefits: Company bike program and transit subsidies
Professional Development: Global career advancement opportunities

Key Responsibilities

Lead complex data science initiatives driving business value across multiple business units
Develop and implement advanced analytics solutions using modern data science stack
Collaborate with engineering teams to productionize ML models using MLOps practices
Drive cross-functional projects as technical leader and data science evangelist
Guide strategic decision-making through data-driven insights and storytelling

Requirements

Education

Master's degree in quantitative field (physics, mathematics, bioinformatics, computer science, computational finance); PhD preferred

Experience

Minimum 2 years in data science/advanced analytics; chemical/consumer goods industry experience preferred

Required Skills

Advanced Python/R programming SQL and Spark data processing Azure cloud infrastructure MLOps and version control Time-series analysis Machine learning (supervised/unsupervised) Deep learning Statistical modeling Optimization Data visualization Business acumen Cross-functional collaboration Data storytelling
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Sauge AI Market Intelligence

Industry Trends

Manufacturing and consumer goods companies are increasingly leveraging AI/ML for supply chain optimization and predictive maintenance, creating high demand for data scientists with industry expertise. Integration of IoT and sensor data with traditional business analytics is driving need for specialists who can handle both structured and unstructured data at scale. Shift towards cloud-native data platforms and MLOps practices indicates maturity in enterprise AI adoption.

Role Significance

Likely part of a 5-10 person Data Science Center of Excellence team, collaborating with broader engineering and business teams
Senior position with significant strategic impact, serving as both technical expert and analytics evangelist across business units

Key Projects

Supply chain optimization and demand forecasting Manufacturing process optimization and predictive maintenance Consumer behavior analytics and product development Digital transformation initiatives across business units

Success Factors

Strong balance of technical expertise and business acumen Ability to translate complex technical concepts for non-technical stakeholders Experience with enterprise-scale data science deployment Understanding of manufacturing and consumer goods industry dynamics

Market Demand

Very High - Manufacturing digital transformation and Industry 4.0 initiatives are creating strong demand for data scientists with industrial expertise

Important Skills

Critical Skills

MLOps expertise - Essential for productionizing models in manufacturing environment Cloud infrastructure knowledge - Required for scaling solutions across global operations Business communication - Critical for driving adoption of data science solutions

Beneficial Skills

German language skills for local stakeholder management Experience with manufacturing systems and IoT data Knowledge of regulatory compliance in chemical/consumer goods industries

Unique Aspects

Combination of consumer goods and chemical industry exposure provides diverse application areas for data science
Strong focus on sustainable solutions and digital transformation
Global scale of operations offers broad impact potential

Career Growth

2-4 years typical progression to team lead or management role, depending on business impact and leadership capabilities

Potential Next Roles

Lead Data Scientist Data Science Manager Head of Analytics Digital Transformation Director

Company Overview

Henkel

Henkel is a global leader in consumer goods and industrial chemicals with strong digital transformation initiatives

Fortune 500 company with significant investment in digital capabilities and data-driven decision making
Düsseldorf HQ serves as key tech hub for European operations with global reach
Progressive German corporate culture with strong emphasis on innovation and sustainability
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