Tech

Data Scientist Resume Example

A strong data scientist resume gets the recruiter to the point in seconds. This example follows the structure hiring managers actually scan — headline first, quantifiable wins next, credentials last — and you can copy it in one click.

What recruiters look for

  • Production models > kaggle notebooks
  • Business metric first, model architecture second
  • Show experimentation rigor (pre-registration, power analysis)
  • Papers and open-source in a separate section

Frequently asked questions

PhD required?

No. It helps for research roles; applied DS is portfolio-driven.

How much SWE to show?

Enough that you can deploy your own model — mention CI, MLflow, or shipping to a service.

Live preview

Dr. Wei Zhang

Data Scientist · Recommendation & Forecasting

dr@example.com+1 555 000 0100New York, NY

Summary

Data scientist with 5 years shipping production ML for personalization and demand forecasting. Owned models responsible for +9% conversion lift at scale.

Experience

Data Scientist · StreamNow
2021 — Present · New York, NY
  • Shipped a two-tower recommender live to 22M users — +9% CTR, +4.2% watch time.
  • Built a demand-forecast pipeline in Airflow + PySpark reducing overstock by $1.1M/yr.
  • Ran 40+ A/B tests with pre-registered analysis plans.

Education

Columbia University · PhD, Statistics
2016 — 2020 · New York, NY

Skills

PythonPyTorchscikit-learnSQLSparkAirflowMLflowA/B testingCausal inference

Languages

English (Native)

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