Data Scientist Resume Example for Google

An ML-focused data scientist resume example tailored for Google. Highlights NLP systems, large-scale experimentation, and applied research.

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Maria Chen

you@email.com · (650) 555-0198 · Mountain View, United States linkedin.com/in/repolish-ai

Senior Data Scientist

Technical Skills

  • Machine Learning: Deep Learning NLP Recommendation Systems Causal Inference Information Retrieval
  • Engineering: Python TensorFlow Spark SQL Kubernetes
  • Experimentation: A/B Testing Bayesian Statistics Experimental Design

Summary

Data scientist with 6+ years of experience applying machine learning and NLP to improve search and recommendation quality. Strong background in large-scale ML systems, experimentation design, and cross-functional research collaboration.

Experience

Senior Data Scientist — Google

2021-08 – Present

  • Designed and deployed a transformer-based query understanding model improving search relevance by 18% across 50+ languages.
  • Led experimentation for the search quality team, designing A/B tests and causal inference frameworks that influenced 15 core ranking changes.
  • Built real-time ML pipelines processing 1B+ events daily using TensorFlow, BigQuery, and Dataflow.
  • Collaborated with product and engineering teams to define ML roadmap, driving 3 patents and 2 publications.

Data Scientist — Pinterest

2018-03 – 2021-07

  • Developed a visual similarity model that increased content recommendation CTR by 28% across 400M+ monthly users.
  • Created automated experiment analysis dashboards used by 200+ PMs and engineers, reducing analysis time by 70%.
  • Led a cross-team initiative to standardize metric definitions and experiment tracking, improving decision velocity by 35%.

Education

  • M.S. in Computer Science - Artificial Intelligence, Stanford University (2016-09 – 2018-06)
  • B.S. in Electrical Engineering & Computer Science, UC Berkeley (2012-08 – 2016-05)

Certifications

  • Google Cloud Professional ML Engineer (2023)
  • NeurIPS Reviewer (2023, 2024) (2024)

Publications

  • Chen, M. et al. "Efficient Cross-Lingual Query Understanding via Distillation." SIGIR 2024.
  • Chen, M. et al. "Large-Scale Causal Inference for Search Quality." KDD 2023.

Patents

  • US Patent #12,045,112 - "Cross-Lingual Semantic Matching" (2024)
  • US Patent #11,923,441 - "Real-Time Experiment Metric Computation" (2023)

Community

  • Women in ML mentorship program founder (50+ mentees)
  • Co-organizer, Bay Area NLP Meetup (3,000+ members)

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