Decision scientist with 6 years of experience combining causal inference, forecasting and economics to guide marketplace and pricing decisions. Quantified incentive effects that let leadership cut driver bonuses $11M a year without hurting supply. Frames ambiguous business questions as decisions with clear options, uncertainty and expected value.
Experience
Decision Scientist, Roadrunner Delivery (San Francisco, CA)
Feb 2022 – Present
Estimated driver incentive elasticity with switchback experiments, enabling an $11M annual bonus reduction with no measurable supply loss
Built a synthetic-control framework to evaluate city launches when randomized tests were impossible
Developed a decision model for minimum-order fees that raised contribution margin 3 points
Present quarterly decision reviews to the COO with recommendations and confidence ranges
A strong Decision 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
Decision Scientist resume FAQ
What should a Decision Scientist resume include?
A Decision 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 Decision Scientist?
Classic, Modern and Compact work well for Decision Scientist roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Decision Scientist resume be?
One page for most candidates; move to two only if every line is relevant.
Which skills should a Decision Scientist put on a resume?
Prioritize the skills named in the job posting. Common ones for Decision Scientist roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Decision 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."