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Staff Engineer Data Scientist

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Pay
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Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Apply at Infineon

What you’ll work on

Full posting
  • Develop and maintain data pipelines for large-scale data indexing

  • Run exploratory analysis and predictive models to find trends and anomalies

  • Build deep learning algorithms and maintain model quality over time

  • Explain complex deep learning algorithms to business stakeholders and tech talks

  • Document analytical findings for technical teams, executives, or publication

From the employer’s posting
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.
build deep learning algorithms and be responsible to maintain model quality over time.
explain complex deep learning algorithms in layman terms to business stakeholders or tech talks.
Document analytical findingsfor technical teams, executives, or publication
Education & alternatives
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 process (NLP), statistical modeling, network analysis, and data mining techniques * Love minimal, beautiful code and neat documentation. * Team player, both internal between data scientist as external with business stakeholders * Plus: Experience with cloud computing (AWS/GCP/Azure) * Plus: Deep Learning (RNN, LTSM, XGBoost) * Plus: Continuous deployment (CI/CD) #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?

Tools in this posting

  • Python
  • SQL
  • AWS
  • Azure
  • GCP
  • Keras
  • PyTorch
  • scikit-learn
  • TensorFlow
  • XGBoost
Source — Tool mentions in context
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 process (NLP), statistical modeling, network analysis, and data mining techniques * Love minimal, beautiful code and neat documentation. * Team player, both internal between data scientist as external with business stakeholders * Plus: Experience with cloud computing (AWS/GCP/Azure) * Plus: Deep Learning (RNN, LTSM, XGBoost) * Plus: Continuous deployment (CI/CD) #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?

Posting record

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Open 5 monthsWe first saw this posting 172 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 11, 2026 · 172 days ago
Recorded sightings
241
Last seen by us
Oct 30, 2026
Employer says posted
Apr 1, 2026

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Job description

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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 Key responsibilities in your new role * Growing 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 to maintain model quality over time. * Take ownership of the algorithmic structure and explain complex deep learning algorithms in layman terms to business stakeholders or tech talks. * Ability to set and achieve project objectives & milestones. * Document analytical findingsfor 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 process (NLP), statistical modeling, network analysis, and data mining techniques * Love minimal, beautiful code and neat documentation. * Team player, both internal between data scientist as external with business stakeholders * Plus: Experience with cloud computing (AWS/GCP/Azure) * Plus: Deep Learning (RNN, LTSM, XGBoost) * Plus: Continuous deployment (CI/CD) #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.
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