Senior data scientist with 9 years in fintech, specializing in credit risk and pricing models deployed at scale. Led the underwriting model rebuild that cut loss rates 22% while approving 11% more applicants. Mentors junior scientists and owns models end to end, from problem framing to monitoring in production.
Experience
Senior Data Scientist, Keystone Lending Group (New York, NY)
Mar 2022 – Present
Led rebuild of the personal-loan underwriting model in LightGBM, reducing 12-month loss rates 22% while raising approvals 11% on $900M annual originations
Established SHAP-based adverse-action reason codes that passed ECOA and model risk review on first submission
Mentored 4 data scientists and set team standards for feature stores, code review and model cards
Data Scientist, Harborview Payments (Boston, MA)
Jan 2019 – Feb 2022
Developed a merchant fraud model that flagged 68% of losses before first payout, saving $3.4M a year
Designed a sequential testing framework adopted by 6 product teams, shortening test cycles by 9 days
Risk & Compliance: ECOA adverse action, SR 11-7 model risk, fair lending testing
How to write a Senior Data Scientist resume
A strong Senior 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
Senior Data Scientist resume FAQ
What should a Senior Data Scientist resume include?
A Senior 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 Senior Data Scientist?
Classic, Modern and Compact work well for Senior Data Scientist roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Senior Data Scientist resume be?
One page is ideal; two pages are fine with 10+ years of relevant experience.
Which skills should a Senior Data Scientist put on a resume?
Prioritize the skills named in the job posting. Common ones for Senior Data Scientist roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Senior 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."