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Data Scientist | 15 + Years experience
Data Scientist | 15 + Years experienceAmaze Systems Inc • San Jose, CA, United States
Data Scientist | 15 + Years experience

Data Scientist | 15 + Years experience

Amaze Systems Inc • San Jose, CA, United States
6 days ago
Job type
  • Full-time
Job description

Role : Data Scientist

Location : San Jose, CA

Responsibilities

  • Design and build end-to-end ML / data pipelines (ingestion transformation labeling feature engineering training validation deployment).
  • Develop reproducible ML research workflows using Jupyter / Colab and version-controlled environments.
  • Define and manage data labeling strategy (guidelines, quality checks, automation).
  • Perform exploratory data analysis (EDA) and create datasets for supervised & unsupervised ML.
  • Train, evaluate, and optimize ML models across environments (dev, staging, prod).
  • Apply MLOps best practices (CI / CD for ML, pipeline automation, monitoring model drift, experiment tracking).
  • Collaborate with ML engineers, software developers, and product managers to deliver production-ready ML solutions.

Requirements

  • PhD in Computer Science, Data Science, Statistics, Applied Math, or related field.
  • 3 years applied research / industry experience in ML or Data Science.
  • Proven expertise in end-to-end ML pipeline design and deployment .
  • Strong Python skills (NumPy, Pandas, scikit-learn, TensorFlow / PyTorch).
  • Proficiency in SQL and large-scale data processing.
  • Experience with MLOps tools (MLflow, Kubeflow, Airflow, Vertex AI, SageMaker).
  • Familiarity with cloud platforms (Google Cloud Platform preferred) and Docker / Kubernetes .
  • Experience automating data labeling workflows (active learning, weak supervision).
  • Nice-to-have : Ex-Google or top-tier tech company background.

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    Data Scientist • San Jose, CA, United States

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