Data Scientist Resume Example & Writing Tips (2026)

Data Scientist Resume Sample

A complete, recruiter-approved example you can use as a starting point. Open it in the builder to edit every line.

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HANA KIM

Senior Data Scientist

Seattle, WA · h.kim@email.com · (555) 214-7788

Summary

Senior data scientist with 7+ years building ML models that drive measurable revenue and efficiency gains. Led a churn-prediction model that saved $2.3M annually and a demand-forecasting pipeline used across 15 product lines.

Experience

Senior Data Scientist · Amazon

2021 - Present

Built a customer churn-prediction model (XGBoost) that identified at-risk accounts 6 weeks earlier, saving $2.3M in annual retention costs
Led a team of 4 data scientists to deploy a real-time demand-forecasting pipeline processing 40M+ events/day, cutting inventory overstock by 18%
Redesigned the A/B testing framework, reducing experiment analysis time from 3 days to 4 hours
Mentor 6 junior scientists in a quarterly model review, cutting review turnaround to 24 hours

Data Scientist · Expedia Group

2018 - 2021

Developed a hotel-ranking recommendation model that increased booking conversion by 11%
Automated a fraud-detection pipeline using scikit-learn, reducing false positives by 27%
Shipped an NLP review-summarization service in TensorFlow over 9M reviews in 40 markets
Migrated 30 batch jobs to Spark, cutting nightly runtime from 7 hours to 90 minutes

Data Analyst · Zillow Group

2016 - 2018

Built 20+ SQL pipelines feeding a Tableau listings dashboard used by 60 analysts weekly
Cleaned and validated 12M rows of property records in Python, cutting data errors by 35%
Ran cohort analyses on 4 marketing channels, reallocating $400K of annual spend to top channels

Education

M.S. Statistics — University of Washington · 2018

Skills

Python, R, SQL, TensorFlow, PyTorch, Scikit-learn, XGBoost, A/B Testing, Pandas, Spark, Tableau, NLP

Certifications

AWS Certified Machine Learning Engineer - Associate, Amazon Web Services

Google Cloud Certified - Professional Data Engineer, Google Cloud

Databricks Certified Machine Learning Professional, Databricks

Projects

Seattle Transit Delay Model - PyTorch model predicting bus delays from 3 years of GTFS data

pandas-profiling contributor - 14 merged PRs adding memory-efficient dtype inference

Bayesian study group - ran 20 modeling sessions for 45 UW statistics alumni

Languages

English (Native), Korean (Native), Japanese (Conversational)

Interests

Open-source ML tooling, Kaggle competitions, Trail running, Film photography

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ATS Optimization Tips for Data Scientist Resumes

Open your summary with quantified business impact (revenue, cost savings, lift) rather than a list of algorithms studied.

Split Technical Skills into languages, ML frameworks, and data tools so ATS parses each keyword individually.

Quantify every model: report accuracy gain, revenue impact, or hours saved rather than just 'built a model'.

Name specific algorithms and methods used (XGBoost, random forest, logistic regression) instead of generic 'machine learning'.

Add a Projects section for Kaggle competitions, published research, or GitHub portfolios.

State the data scale you've worked with (rows, TB, real-time streams) to signal seniority.

Tailor keywords to the JD — some roles want NLP/LLMs, others want classical statistics or MLOps.

Data Scientist Resume Example