Data Science Tech Lead

About this Position

Join us as a Data Scientist and get the opportunity to become a game changer to our team, working alongside professionals from diverse backgrounds to achieve common goals and drive organizational success. This is how you can dare to make an impact:

What you´ll do

• Own the end-to-end lifecycle of data science solutions: from exploratory data analysis and model development through to production deployment, monitoring, and iteration—ensuring models meet accuracy targets and business KPIs
• Partner with Data Engineering and Business stakeholders to identify and scope data science use cases, translating business problems into technical requirements using agile sprints and regular stakeholder reviews
• Lead or contribute to cross-functional project teams as the data science subject matter expert, presenting insights to leadership, conducting workshops with business units, and advocating for data-driven decision making
• Apply statistical modeling, machine learning, and analytics techniques to datasets ranging from small samples to petabyte-scale data, selecting appropriate tools (Python, R, SQL, Spark) based on project requirements
• Research and prototype emerging AI/ML technologies, evaluating their potential business value and presenting recommendations to technical leadership

What makes you a good fit

• Bachelor's degree in Computer Science, Business informatics, STEM (Science, Technology, Engineering, and Mathematics) Majors or any relevant study
• 5-8 years of relevant work experience
• Proficiency in programming languages commonly used in data science, Python, R, or SQL.
• Experience with data engineering tools and techniques, and a solid understanding of data quality assurance processes.
• Familiarity with big data technologies (e.g. Spark) and cloud platforms (e.g., AWS, Azure).
• Ability to work in agile environments and collaborate effectively with cross-functional teams.
• Strong problem-solving skills, with the ability to find innovative solutions to complex data challenges.
• Excellent communication skills, with the ability to explain complex data concepts to non-technical stakeholders.

Some perks of joining Henkel

• Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
• Diverse national and international growth opportunities
• Global 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
• Comprehensive Health Insurance for employee + dependents
• Employee Assistance Programme provides a wide range of mental health and wellbeing benefits

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 look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.