Data Scientist Resume Example

Data science resumes should connect models and analyses to business decisions. Recruiters look for the problem, the method, and the measurable result.

Use this example Template: ATS Data Scientist

Daniel Cho

Senior Data Scientist
Palo Alto, CA 94301 | (650) 555-0233 | daniel.cho@example.com | linkedin.com/in/danielchods | github.com/dcho-ml
Continued · Daniel Cho

Summary

Data Scientist with 8 years applying ML to growth and risk. Built models covering $1.2B decisions, cut false positives 28%, and partnered with product at Netflix, Uber, and Capital One. Data Scientist with mid-career depth across product, people, and P&L-adjacent outcomes. Known for quantified delivery, cross-functional leadership, and clear operating cadence. Sample profile is intentionally dense so you mostly edit, not invent.

Experience

Senior Data Scientist
Netflix · Los Gatos, CA
01/2021 – Present

Member retention and personalization science.

$400MChurn save
28%FP down
$5M+Impact influenced
Churn Propensity
Survival models
  • Models informing $400M retention budget
  • Cut false positives 28% vs prior logistic baseline
  • Shipped on time across 4 workstreams
Experiment Platform
Causal toolkit
  • Standardized CUPED reducing variance 20%
  • Raised SLA attainment from 92% to 99.2%
  • Reduced severity-1 incidents 41%
Operating System Redesign (Netflix)
End-to-end workflow modernization
  • Cut cycle time 28% across 3 teams
  • Documented playbook adopted org-wide
  • Steered 6 stakeholders to a single KPI set
Key achievements
  • Mentored 3 DS; published internal playbook
  • Owned executive status pack for steering committee at Netflix 12 · 2024
  • Delivered quantified outcome ahead of plan at Netflix +18% · 2024
  • Led vendor renegotiation that protected margin $1.2M · 2023
Data Science Impact Award · 2023
Data Scientist
Uber · San Francisco, CA
06/2018 – 12/2020

Marketplace pricing experiments.

6%Gross bookings
12Partners led
25%Efficiency gain
Dynamic Pricing
Surge fairness
  • Lifted gross bookings 6% in treated cities
  • Reduced rider complaints 12%
  • Shipped on time across 4 workstreams
Operating System Redesign (Uber)
End-to-end workflow modernization
  • Cut cycle time 28% across 3 teams
  • Documented playbook adopted org-wide
  • Steered 6 stakeholders to a single KPI set
Quality & Reliability Program (Uber)
Defect and SLA improvement
  • Raised SLA attainment from 92% to 99.2%
  • Reduced severity-1 incidents 41%
  • Trained 12 partners on new standards
Key achievements
  • Partnered with Policy on fairness audits
  • Reduced rework through clearer acceptance criteria at Uber -31% · 2022
  • Delivered quantified outcome ahead of plan at Uber +18% · 2024
  • Owned executive status pack for steering committee 12 · 2024
Manager's Choice · 2023
Data Scientist
Capital One · McLean, VA
07/2016 – 05/2018

Credit risk scorecards.

15bpsLoss rate
25%Efficiency gain
98%Goal hit rate
Scorecard Refresh
Application risk
  • Improved loss rate 15bps without cutting approvals
  • Shipped on time across 4 workstreams
  • Grew adoption 34% in first quarter
Operating System Redesign (Capital)
End-to-end workflow modernization
  • Cut cycle time 28% across 3 teams
  • Documented playbook adopted org-wide
  • Steered 6 stakeholders to a single KPI set
Key achievements
  • Presented to risk committee
  • Owned executive status pack for steering committee at Capital 12 · 2024
  • Delivered quantified outcome ahead of plan at Capital +18% · 2024
Team Impact Award · 2024
DS Intern
LinkedIn · Sunnyvale, CA
06/2015 – 09/2015

Feed ranking features.

4%Dwell time
98%Goal hit rate
4.8Stakeholder score
Feed Features
Engagement signals
  • Added features lifting dwell 4% in holdout
  • Raised SLA attainment from 92% to 99.2%
  • Reduced severity-1 incidents 41%
Operating System Redesign (LinkedIn)
End-to-end workflow modernization
  • Cut cycle time 28% across 3 teams
  • Documented playbook adopted org-wide
  • Steered 6 stakeholders to a single KPI set
Key achievements
  • Converted offer
  • Owned executive status pack for steering committee at LinkedIn 12 · 2024
  • Delivered quantified outcome ahead of plan at LinkedIn +18% · 2024

Education

Stanford University
M.S. in Statistics · Stanford, CA · GPA 3.8
09/2014 – 06/2016

Skills

Leadership
Stakeholder Management 90%Mentorship 88%Roadmapping 86%
Domain
Strategy 88%Analytics 84%Execution 90%
Tools
Excel / Sheets 86%Jira 84%SQL 78%

Certifications

TensorFlow Developer Certificate — Google · 2022
Professional Certificate — Coursera · 2023 · CRT-1001
Leadership Essentials — LinkedIn Learning · 2022 · LIL-2044

Awards

Data Science Impact Award
Netflix · 2023
Churn model
Industry Excellence Award
Industry Association · 2024
Peer-nominated impact
Rising Leader
Regional Chamber · 2022
Community & career impact

Projects

Playbook Hub
Internal knowledge base for delivery standards
Notion, Loom
Impact Dashboard
Live KPI board for leadership reviews
Looker, Sheets

Languages

English · NativeSpanish · Conversational

Achievements

  • Models influencing $1.2B annual decisions $1.2B · 2024
  • Published internal playbook with 2K+ views 2K+ · 2023
  • Built repeatable operating cadence used by peer teams Org-wide · 2024
Sample resume with a fictional person. Replace every detail with your own.

Summary example

Data scientist with [X] years applying statistics and machine learning to [domain] problems. Turns analyses into decisions worth [$X] and explains results clearly to non-technical teams.

Example bullet points for a Data Scientist

  • Built a churn model (AUC [0.8X]) that guided retention offers and saved [$X] per year
  • Designed and analyzed [N] A/B tests; recommendations lifted [metric] by [X%]
  • Deployed a demand forecast used by [team] to plan [inventory/staffing], cutting waste by [X%]
  • Automated feature pipelines in [Spark/dbt], reducing model refresh time from days to hours
  • Presented findings to [VP-level] stakeholders, leading to [decision]
  • Created a self-serve dashboard used weekly by [N] managers
  • Built a forecasting model that improved [demand / revenue] accuracy by [X%], reducing [inventory / cost] by [$X]
  • Designed A/B tests for [N] product changes; findings lifted [metric] by [X%]
  • Automated weekly reporting with SQL and [tool], saving the team [X] hours per week
  • Created a data pipeline ingesting [N] million records per day with automated quality checks

Replace the [brackets] with your own numbers and facts. Never claim results you didn't achieve.

Skills to include

  • Python
  • SQL
  • pandas
  • scikit-learn
  • Statistics
  • A/B Testing
  • Machine Learning
  • Tableau
  • Spark
  • Experiment Design

Tips for a Data Scientist resume

  1. Lead each bullet with the business result, then the technique.
  2. Name the tools you used in production, not every course you took.
  3. Link to a portfolio or published notebooks if your work is not confidential.
  4. A short "Selected projects" section helps career changers and new graduates.
  5. Run the built-in resume checker and paste the job description into the keyword match before you download.

Related: How to write a resume · Action verbs · ATS templates

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