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Metro location, common 3–6 year data scientist profile, and broad generalist skillset drive high competition.
Core data science skills transfer well, though R&D semiconductor context adds moderate domain specificity.
Master's degree, explicit 3+ years and mandatory Python/SQL/ML skills create high shortlisting strictness.
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Contribute to accelerating speed and cost efficiency of New Product Introductions in R&D via data insights, automated reporting, and scalable analytics.
Build and maintain robust, automated, user-friendly dashboards and reports to empower R&D with self-service business intelligence.
Collaborate across stakeholders to define requirements and develop ML models, improve data pipelines, and implement DevOps practices for reproducibility and automation.
Master’s degree in Business Intelligence, Data Engineering, Data Science, Software Engineering, Computer Science, or related field.
3+ years of experience as a Data Scientist, preferably in complex IT or R&D environments.
Strong proficiency in Python and SQL; experience with data visualization tools and ML frameworks such as scikit-learn, PyTorch, TensorFlow, XGBoost.
Experience with automation, Cloud technologies, Infrastructure as Code (preferably CDK), and CI/CD pipelines (preferably Gitlab).
Able to own technical challenges and design long-term scalable data solutions with strategic problem-solving skills.
Effective communicator translating technical concepts into business value, working collaboratively across data science, architecture, and R&D.
Experienced working in Agile environments with active participation in iterative delivery and continuous improvement.