Data scientist with 5 years of experience building churn, demand and propensity models for subscription and e-commerce businesses. Shipped a retention model that saved $2.1M in annual recurring revenue. Brings strong Python and SQL, careful experiment design and a habit of turning model output into decisions product teams act on.
Experience
Data Scientist, Brightloop Subscriptions (Denver, CO)
Feb 2023 – Present
Built a gradient-boosted churn model in XGBoost scoring 1.4M subscribers weekly, enabling save offers that retained $2.1M in annual recurring revenue
Designed 14 A/B tests with product managers, using CUPED variance reduction to cut required sample sizes by 30%
Productionized models with MLflow and Airflow, reducing retraining time from 2 days to 3 hours
Partnered with finance to forecast quarterly subscriber counts within 2.5% error using Prophet and hierarchical reconciliation
Associate Data Scientist, Cartsmith Commerce (Chicago, IL)
Jun 2021 – Jan 2023
Developed a product-recommendation model using implicit-feedback matrix factorization, lifting add-to-cart rate 6% in a 4-week test
Automated weekly demand forecasts for 3,200 SKUs, reducing stockouts 18% across two warehouses
Data Science Intern, Prairie Analytics Lab (Champaign, IL)
May 2020 – Aug 2020
Built a customer lifetime value model for a regional retailer using BG/NBD and gamma-gamma methods
Education
M.S. in Statistics, University of Illinois Urbana-Champaign (Aug 2019 – May 2021)
B.S. in Mathematics, Purdue University (Aug 2015 – May 2019)
Data & MLOps: Snowflake, dbt, Airflow, MLflow, Docker
How to write a Data Scientist resume
A strong Data Scientist resume shows the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Put your most relevant recent role first and make every bullet show a result, not a duty.
Sections, in order
Summary
Experience
Projects
Skills
Education
Length: One page for most candidates; move to two only if every line is relevant.
Summary: Write two or three lines: your role, your strongest skills, and one result that proves them.
Skills to feature
SQL
Python or R
Statistics
Machine learning
Data modeling
dbt and ELT pipelines
BI tools (Looker, Tableau, Power BI)
Experiment design
Data visualization
Stakeholder communication
Example bullet points
Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year
Rebuilt the revenue dashboard on dbt and Looker, cutting refresh time from 6 hours to 20 minutes
Designed 25 A/B tests with sequential analysis, shortening the average test from 4 weeks to 10 days
Tips from recruiters
Pair every technique with the decision it informed; "built a model" alone says little.
List tools under grouped skills ("Analytics: SQL, dbt, Looker") so ATS keyword matches are exact.
Link a notebook, Kaggle profile or public analysis if you have one.
Recommended templates
Classic (ATS-friendly): Jake's-style LaTeX classic: small caps and hairline rules
Modern (ATS-friendly): Clean single column with accent headings and rules
Compact (ATS-friendly): Dense single column that fits long histories
Data Scientist resume FAQ
What should a Data Scientist resume include?
A Data Scientist resume should show the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Use these sections in this order: Summary, Experience, Projects, Skills and Education. Put your most relevant recent role first and make every bullet show a result, not a duty.
What is the best resume template for a Data Scientist?
Classic, Modern and Compact work well for Data Scientist roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Data Scientist resume be?
One page for most candidates; move to two only if every line is relevant.
Which skills should a Data Scientist put on a resume?
Prioritize the skills named in the job posting. Common ones for Data Scientist roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Data Scientist resume bullet points?
Start with an action verb, say what you did, and end with a measurable result such as forecast accuracy, revenue impact and query time. For example: "Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year."