About the role

AI summarised

Staff Engineer Data Scientist at Infineon, a semiconductor leader in power systems and IoT. The role involves growing data analytics and AI capability, developing data pipelines, building deep learning models, and communicating findings to stakeholders.

IDMFull-timeBE

Key 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 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 findings for technical teams, executives, or publication

Requirements

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)