Engineer- Data Scientist

Infineon Technologies; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Infineon Technologies AG in Singapore is seeking a data science lead to grow the organization's analytics and AI capabilities. You will develop and maintain large-scale data indexing pipelines and engage in exploratory analysis and predictive modeling to identify trends and anomalies.

Candidates should have a PhD or MSc and 3–5 years of relevant experience, with strong Python/SQL skills, NLP, and ML libraries. Cloud experience and deep learning expertise are a plus.

Qualifications

• PhD or MSc in Natural Science, Computer Science, Data Science, Statistics, Mathematics, or equivalent fields.
• 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 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).
• Candidate with no experience can be considered for entry level position.

Responsibilities

• 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 maintain model quality over time.
• Take ownership of the algorithmic structure and explain complex deep learning algorithms to stakeholders.
• Ability to set and achieve project objectives & milestones.
• Document analytical findings for technical teams, executives, or publication.

Skills

Python

SQL

Text processing

Recommender systems

Hyperparameter tuning

Feature engineering

NLP

Statistical modeling

Network analysis

Data mining

Clean code

Team player

Cloud computing

Deep Learning

CI/CD

Education

PhD or MSc

Tools

Scikit-learn

TensorFlow

Keras

PyTorch

Job description

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)
• Candidate with no experience can be consider for entry level position

#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?

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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.

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