Manager Data Science HR

We are looking for a Manager – People Analytics to drive data-driven decision-making in HR by leveraging advanced analytics techniques such as regression models, simulations, and machine learning to generate actionable insights. The role involves partnering closely with global HR teams—including Talent Acquisition, Talent Development, and Organizational Effectiveness—to design scalable analytical solutions across diverse use cases. You will prepare and transform high-quality datasets for meaningful visualization, and effectively communicate insights to stakeholders to support strategic decisions. Additionally, you will contribute to building a data-first HR culture by promoting innovative analytics practices, defining data requirements, documenting methodologies, and enabling knowledge sharing to upskill the organization while strengthening the People Analytics community.

Your Role Key responsibilities in your new role

• Evaluate, implement, and apply analytical methods, tools, and processes (e.g., regression models/GLM, simulations, machine learning)to generate actionable diagnostic, predictive, and prescriptive insights.
• Collaborate with HR Global Functional Teams (GFT) (e.g., Talent Acquisition, Talent Development, Organizational Effectiveness) to develop scalable analytical approaches across a variety of use cases.
• Identify and prepare relevant data sets to explore opportunities to enhance data quality and collection, and prepare data (e.g., using Tableau Prep Builder) for visualization.
• Interpret and communicate insights clearly to stakeholders, providing data-driven decision support to HR business partners and leadership.
• Contribute to making HR a data-driven organization by identifying innovative data science practices and defining data requirements.
• Document methodologies and best practices, and support the up skilling of key stakeholders through knowledge sharing.
• Actively contribute to the growth of our People Analytics Community.

Your Profile Qualifications And Skills To Help You Succeed

• A degree focused on empirical or statistical methods, such as Social Sciences, Psychology, Business Administration, Economics, Computer Science, Machine Learning, Mathematics, or Statistics; ideally a Master’s degree.
• 4–6 years of relevant experience in applying analytics in a business context.
• Strong expertise in advanced analytical methods and the ability to translate insights into actionable recommendations.
• Solid experience in empirical social research methods (e.g., regression models/GLM, NLP, ML).
• Proficiency in Python or R and relevant libraries, along with hands-on experience using data visualization tools such as Tableau and Tableau Prep Builder.
• Experience leading or coordinating data science projects, ideally with exposure to People Analytics (a plus, but not required).
• Excellent command of English.

Contact: umeshdatta.bamrule@infineon.com

#WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in? We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels. Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process. Click here for more information about Diversity & Inclusion at Infineon.