TechSenior (6+ years)
Data Scientist resume example — Senior (6+ years)
Sample summary for Ryan Kim
Senior data scientist and ML lead with 8 years building production AI systems at data-driven companies. Led a 6-person data science team, built ML infrastructure serving 50+ models in production, and drove $15M in quantifiable business impact through AI-driven initiatives. Known for connecting model quality to business outcomes and coaching cross-functional teams on data thinking.
Key skills
PythonPyTorchKubernetesVertex AIMLflowCausal InferenceTeam LeadershipML Platform DesignStakeholder CommunicationNLPReinforcement LearningSQL
Sample experience
Senior Data Scientist
2019 – Present
Torchlight Analytics · Seattle, WA
- •Led 6-person DS team building ML platform serving 50+ models in production with <5ms average inference latency
- •Drove $8M in incremental revenue through 4 ML-powered personalization initiatives across 2 product lines
- •Established responsible AI review process for all production models; adopted by company as standard practice
- •Mentored 4 data scientists to senior level; 2 now lead their own teams at other tech companies
Data Scientist
2016 – 2019
Stellar Media · Los Angeles, CA
- •Built content recommendation system that increased user session length by 28% for 3M daily active users
- •Designed A/B test infrastructure processing 1B+ assignments/day with fully automated analysis and reporting
- •Co-invented 2 patents related to content personalization techniques filed by the company
Tips for your Data Scientist resume
Senior data science resumes must show team leadership, ML platform ownership, and measurable business impact at scale. Hiring leaders want evidence that you translate model performance into business outcomes, not just that you can train good models. Show your influence on the broader organization.
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