‏(Senior) Data Scientist ‏(d/f/m)

At Henkel, you can build on a strong legacy and leading positions in both industrial and consumer businesses to reimagine and improve life every day. If you love challenging the status quo, join our community of 47.000 pioneers around the globe. The teams in our corporate functions enable the best in our dynamic businesses and in our people to maximize our company’s potential. With our leading brands, our cutting-edge technologies and our disruptive solutions, you will have countless opportunities to explore new paths and develop your skills. Grow within our future-led businesses, our diverse and vibrant culture and find a place where you simply belong. All to leave your mark for more sustainable growth.

Dare to make an impact?

YOUR ROLE

• Solve complex business problems with data and use data scientific tools to find solutions for challenges in the realm of both big and small data as well as take pride in delivering insight and value from data to the organization
• Be part of a team of data scientists embedded in our Data Science Center of Excellence
• Advance the team with your expertise and extend and deepen your knowledge by strong collaboration within the team and within cross-functional teams
• Work in close collaboration with our Data Science Engineering team using agile methods to deliver high quality data products at a fast pace and driven by the market, we test & learn, we build fast – in weeks, not months – and are always ready to adapt
• Actively participate in cross-functional project teams in the execution of our data & analytics strategy and live a culture of constant learning, integrity, and mutual responsibility
• Be passionate about exploring emerging technologies and leveraging their full potential and establish yourself as a Data Science ambassador across business units and functions

YOUR SKILLS

• Master degree in a quantitative field (e.g. physics, mathematics, bioinformatics, (computer) science, computational finance); PhD is a plus
• Minimum 2 years of relevant experience in a data science or advanced analytics environment in industry, experience in the chemical and consumer goods industry is a plus
• Strong skills in solving complex problems as well as ability to structure and reduce complexity
• Expert knowledge and hands-on experience in at least one of the following data science areas: optimization, Bayesian modelling, time-series analysis, supervised or unsupervised machine learning, neural networks / deep learning
• Excellent coding knowledge in scripting languages (e.g. Python, R) and data processing frameworks (e.g. SQL, Spark, Hive)
• High confidence in handling structured and unstructured data in cloud ecosystems (e.g. Azure tool stack), experience in data preparation, data modelling, analysis, and visualization
• Proven track record in delivering data science products from prototype to deployment
• Experience in working within cross-functional teams (including technical (e.g. Data Engineering / DevOps Engineering) and business functions) and using technology to enable efficient team-work (e.g. Scrum/Kanban boards, code repositories, MLOps)
• Eagerness to consult and drive data literacy within the company as well as capacity to develop a clear understanding of the business needs and to translate them into relevant data science tasks
• Strong experience in communicating results to a non-technical audience via data visualization and data story telling as well as high confidence in both verbal and written communication
• Fluent in English, German language skill is a plus

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, disabilities, and generations.