Staff Engineer Data Scientist

About the role

Infineon is looking for a Staff Engineer Data Scientist to grow its data analytics and AI capabilities. The person will develop and maintain large-scale data pipelines, run exploratory and predictive analysis, build deep learning algorithms and keep model quality high, while explaining complex technical concepts to stakeholders and documenting findings.

Key responsibilities

• Grow the organization's data analytics and AI capability.
• Develop and maintain a data pipeline for large-scale data indexing.
• Run 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 in simple terms to business stakeholders or in tech talks.
• Set and achieve project objectives and milestones.
• Document analytical findings for technical teams, executives or publications.

Required profile

• Ph.D. or Master's degree in a natural science, computer science, data science, statistics, mathematics or an equivalent field.
• At least 3-5 years of relevant experience in similar fields.
• Team player, both among data scientists and with business stakeholders.

Required skills

• Proficiency in Python and SQL.
• Text manipulation, including processing and parsing.
• Understanding of recommender systems such as collaborative and content filtering.
• Machine learning libraries such as Scikit-learn, TensorFlow, Keras or PyTorch.
• Hyper-parameter tuning, embeddings and feature engineering.
• Natural language processing, statistical modeling, network analysis and data mining.
• Neat documentation and minimal, clean code.
• Preferred: cloud computing (AWS/GCP/Azure), deep learning (RNN, LSTM, XGBoost) and continuous deployment (CI/CD).