Data Scientist Resume Template

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Sofia Reyes

Data Scientist · ML in Production

[email protected] · +1 646 555 0727 · Brooklyn, NY · sofiareyes.io · linkedin.com/in/sofiareyes · github.com/sofiareyes

Data scientist with 5 years shipping ML systems to production at consumer and marketplace companies. Specialized in NLP and recommendation. Built the personalization stack at Etsy that drives 18% of homepage purchases.

Experience

Senior Data Scientist, Etsy

Sep 2022 – Present

Brooklyn, NY

—Built and shipped the homepage recommender that now drives 18% of purchases (+2.1% lift in conversion).
—Replaced legacy collaborative-filtering pipeline with a two-tower embedding model on Vertex AI.
—Co-authored an internal style guide for offline → online evaluation that's now standard across the org.

Data Scientist, Spotify

Jul 2020 – Aug 2022

New York, NY

—Improved track-level genre tagging F1 from 0.71 → 0.86 by fine-tuning BERT on Spotify's editorial corpus.
—Designed and ran the A/B test that validated personalized playlist covers (+4% engagement, shipped globally).

Education

Columbia University — MS Data Science 2020

University of Texas at Austin — BS Statistics 2018

Skills

ML · PyTorch, TensorFlow, Hugging Face Transformers, XGBoost, scikit-learn

Data & infra · Python, SQL, Spark, Airflow, BigQuery, Vertex AI, Snowflake

Experimentation · Causal inference, A/B testing, Statsig, Bayesian methods

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Single-column structure

Multi-column resumes confuse parsers. This template is built single-column.

Real selectable text

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Standard section headers

Experience, Education, Skills. The names parsers are trained on.

What recruiters scan for

Four things to nail.

Lead with the metric

AUC, accuracy, F1, conversion lift — the number that proves the work mattered.

Describe data scale

"Trained on 12M rows" or "served 8B inferences/day" tells recruiters more than "deep learning."

Bridge to business outcomes

Pair every model with the impact: revenue, churn, NPS, time-to-decision.

Tooling row

PyTorch, dbt, Snowflake, Looker — a fast scan for parsers and humans alike.

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