Staff data scientist with 11 years of experience setting technical direction for experimentation and causal inference at large consumer platforms. Designed the company-wide experimentation methodology used in 3,000 tests a year. Works across teams as a senior individual contributor, mentoring scientists and influencing product strategy with rigorous evidence.
Experience
Staff Data Scientist, Hivemind Social (Menlo Park, CA)
Feb 2022 – Present
Set experimentation methodology for 3,000 tests a year, including variance reduction and network-effect designs
Led a cluster-randomized study of notification limits that reduced unsubscribes 18% with neutral engagement, shaping company policy
Mentor 10 data scientists across 4 orgs through design reviews and a causal inference reading group
Authored technical strategy for long-term holdouts adopted by the product leadership team
Senior Data Scientist, Waypoint Rideshare (San Francisco, CA)
Apr 2018 – Jan 2022
Built switchback testing for marketplace pricing, adopted across 40 cities
Quantified surge pricing effects that informed a $25M annual incentive reallocation
Data Scientist, Kestrel Search (Mountain View, CA)
Jul 2015 – Mar 2018
Analyzed ads auction experiments affecting $200M in annual revenue
Education
Ph.D. in Statistics, Stanford University (Sep 2010 – Jun 2015)
B.S. in Mathematics, Harvey Mudd College (Aug 2006 – May 2010)
Skills
Causal Inference: network experiments, switchbacks, long-term holdouts, synthetic control
A strong Staff Data Scientist resume shows the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Lead with scope and impact: the size of the systems, budgets or teams you influenced, and the decisions you owned.
Sections, in order
Summary
Experience
Projects
Skills
Education
Length: One page is ideal; two pages are fine with 10+ years of relevant experience.
Summary: Open with your specialty and years of experience, then one or two signature results.
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
Staff Data Scientist resume FAQ
What should a Staff Data Scientist resume include?
A Staff 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. Lead with scope and impact: the size of the systems, budgets or teams you influenced, and the decisions you owned.
What is the best resume template for a Staff Data Scientist?
Classic, Modern and Compact work well for Staff Data Scientist roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Staff Data Scientist resume be?
One page is ideal; two pages are fine with 10+ years of relevant experience.
Which skills should a Staff Data Scientist put on a resume?
Prioritize the skills named in the job posting. Common ones for Staff Data Scientist roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Staff 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."