Staff Engineer Data Scientist
Location not identified
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDevelop 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
Report an errorOpen 5 monthsWe first saw this posting 173 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 · 173 days ago
- Recorded sightings
- 242
- Last seen by us
- Oct 31, 2026
- Employer says posted
- Apr 1, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.infineon.com. The employer’s form will show what is required.
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