Manager Data Scientist

Are you an experienced data scientist with a passion for applying advanced analytics to organizational and people-related data? Do you want to help shape the future of work at a global, diverse company like Infineon? Join us as a Data Scientist – People Analytics and contribute to impactful projects that drive data-informed decisions across our HR landscape. This position is part of the newly established Data Analytics & Reporting Team within HR Digital, which belongs to HR People Services. Our vision is to empower HR to become a truly data-driven organization and to create tangible value from data—for our people, our processes, and our business.

In your new role you will:

•  Evaluate, apply analytical methods and tools (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.
• Contribute to making HR a data-driven organization by interpreting and communicating insights clearly to stakeholders and provide data-driven decision support to HR business partners and leaders.
• 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.
• Identify innovative data science practices and defining data requirements.
• Document methodologies and best practices, and support the upskilling of key stakeholders through knowledge sharing.
• Actively contribute to the growth of our Data Scientist Community.

You are best equipped for this task if you have:

As a Data Scientist, you quickly absorb information, analyze it from multiple perspectives, and uncover meaningful patterns. You maintain a strategic view even in complex situations and support decision-making in uncertain environments. You are a collaborative team player who builds strong relationships with stakeholders.

• A degree focused on empirical or statistical methods, such as 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.

#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.