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title: "Head of Quantitative Research and statistics",
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company: "Henkel",
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companyurl: "https://www.henkel.com",
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description: "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",
description: "Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets. Delivers data science products from idea to deployment. Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential. Develop processes and tools to monitor and analyze model performance and data accuracy. Acts as data science ambassador across business units and functions",
description: "Design and own cloud architectures for GenAI platforms, intelligent agents, and automation solutions on Azure. Translate business requirements into scalable technical blueprints, reference architectures, and implementation guidelines. Work closely with developers, AI engineers, and product teams to align solution components end-to-end. Drive Azure best practices across identity, networking, security, monitoring, and API integrations. Contribute to smooth delivery by supporting CI/CD workflows, reviewing IaC implementation, and ensuring consistent deployment patterns. Help shape stable and well-structured platform environments through thoughtful resource planning, environment setup support, and ongoing architecture-assisted optimization. Ensure governance, documentation, and operational readiness across solutions. Act as a sparring partner and trusted technical advisor for the GenAI engineering team",
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