Staff Engineer Data Scientist

We are seeking a highly skilled Staff Engineer Data Scientist to grow our organization's data analytics and AI capabilities. The successful candidate will develop and maintain large‑scale data pipelines, perform exploratory and predictive analysis, build deep learning algorithms, and maintain model quality. They will also communicate complex technical concepts to stakeholders and document analytical findings.

Your Role

• Grow the organization’s data analytics and AI capability.
• Develop and maintain a data pipeline for large‑scale data indexing.
• Engage in both exploratory analysis and predictive models to identify data trends and anomalies.
• Explore new hypotheses, build deep learning algorithms, and be responsible for maintaining model quality over time.
• Take ownership of the algorithmic structure and explain complex deep learning algorithms in layman terms to business stakeholders or in tech talks.
• Set and achieve project objectives & milestones.
• Document analytical findings for technical teams, executives, or publication.

Your Profile Qualifications and Skills to Help You Succeed

• Ph.D. or Masters in Natural Science, Computer Science, Data Science, Statistics, Mathematics, or equivalent fields.
• At least 3‑5 years of relevant working experience in similar fields.
• Proficient in Python and SQL languages.
• Ability to handle text manipulation tasks such as processing and parsing.
• Understanding of recommender systems such as collaborative filtering and content filtering.
• Experience in using machine learning libraries such as Scikit‑learn, TensorFlow, Keras or PyTorch.
• Experience in model hyper‑parameter tuning, embeddings and feature engineering.
• Experience in natural language processing (NLP), statistical modeling, network analysis, and data mining techniques.
• Love minimal, beautiful code and neat documentation.
• Team player, both internal between data scientists and external with business stakeholders.
• Plus: Experience with cloud computing (AWS/GCP/Azure).
• Plus: Deep Learning (RNN, LSTM, XGBoost).
• Plus: Continuous deployment (CI/CD).

#WeAreIn for driving decarbonization and digitalization.

As a global leader in semiconductor solutions for 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 giving 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.