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Salary
≈ $93k – $270k per year (Estimated)
Location
In office (New Cairo)
Seniority
Staff

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Jul 10, 2026. Henkel scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Henkel is a German multinational chemical and consumer goods company headquartered in Düsseldorf, organised into two business areas, Adhesive Technologies and Consumer Brands, with brands such as Loctite, Persil and Schwarzkopf. Founded in 1876 and listed in the DAX, it operates worldwide, with its North American headquarters in Rocky Hill, Connecticut, and large teams in Stamford, Boulogne-Billancourt, Shanghai, Brussels and Bratislava. Its vacancies include field sales and sector managers, production planners, quality engineers, engineering project managers, R&D and packaging interns, enterprise architects, logistics managers and legal counsel.

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

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