Data science manager with 10 years of experience in forecasting and pricing across travel, energy and retail, managing 8 data scientists at an online travel company. Delivered a demand forecasting platform that improved partner RevPAR 4%. Builds strong teams through structured hiring and clear model ownership, and partners closely with product, revenue management and finance leaders.
Experience
Data Science Manager, Tripstone Travel (Seattle, WA)
Sep 2021 – Present
Manage 8 data scientists across forecasting and dynamic pricing for 40,000 partner hotels
Delivered a demand forecasting platform that improved partner RevPAR 4% and reduced forecast error 22%
Hired 5 data scientists and built an interview loop with structured take-home and case rubrics
Introduced model ownership and on-call rotations, cutting production incidents 50%
Senior Data Scientist, Rainier Power & Light (Bellevue, WA)
Mar 2018 – Aug 2021
Built hourly load forecasts for 1.2M customers with 3.1% MAPE, supporting grid planning
Led a 3-person team building outage prediction models from weather data
Data Scientist, Cascade Retail Analytics (Seattle, WA)
Jan 2016 – Feb 2018
Developed store-level sales forecasts for 300 locations
Education
M.S. in Applied Mathematics, University of Washington (Sep 2014 – Dec 2015)
B.S. in Mathematics, Washington State University (Aug 2010 – May 2014)
Methods: time series forecasting, dynamic pricing, hierarchical models
Platforms: Python, Spark, Databricks, MLflow, AWS
How to write a Data Science Manager resume
A strong Data Science Manager resume shows the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Show the organization you ran (team size, budget, revenue) and the business results you are accountable for.
Sections, in order
Summary
Experience
Projects
Skills
Education
Length: Two pages are common for leadership roles; keep the first page strong enough to stand alone.
Summary: Lead with your leadership scope and the business outcomes you are known for.
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 Science Manager resume FAQ
What should a Data Science Manager resume include?
A Data Science Manager 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. Show the organization you ran (team size, budget, revenue) and the business results you are accountable for.
What is the best resume template for a Data Science Manager?
Classic, Modern and Compact work well for Data Science Manager roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Data Science Manager resume be?
Two pages are common for leadership roles; keep the first page strong enough to stand alone.
Which skills should a Data Science Manager put on a resume?
Prioritize the skills named in the job posting. Common ones for Data Science Manager roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Data Science Manager 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."