Data Scientist (Core ML)

Data Scientist (ML)

San Jose,CA(Local Profiles only)

Required Qualifications

• Bachelor’s or Master’s in CS, Statistics, Mathematics or a related quantitative discipline; PhD a plus.
• 8+ years applied ML / data science with a verifiable record of models sustained in production.
• Strong mathematical foundations — linear algebra, probability, statistics, optimization.
• Demonstrated depth in feature engineering and model architecture design, explainable on a whiteboard for models personally built.
• Proven end-to-end pipeline ownership, not notebook-stage experimentation.
• Expert Python and SQL; pandas, NumPy, scikit-learn and PyTorch or TensorFlow.
• Distributed processing (Spark/PySpark, Hadoop, BigQuery) and a cloud ML platform (SageMaker, Azure ML or Vertex AI).
• MLOps working knowledge — MLflow, Docker, Kubernetes, CI/CD, model monitoring.
• Production model observability and drift management — threshold definition, automated alerting, kill-switches and retraining/rollback triggers.
• Experience designing model routing or fallback logic across multiple models, including the validation applied when a switch occurs.

Preferred

• Recommendation, ranking or personalization engines at scale; time-series forecasting and anomaly detection on telemetry data.
• NLP with classical and transformer-based approaches (embeddings, NER, classification, topic modelling).
• LLM/GenAI exposure as a complement to core ML depth; enterprise technology, networking or telecom domain experience; Tableau or Power BI.