Lea Collin
Data Scientist
- Role
- Data Scientist at Spotify
- Location
- Boston, MA, US
- LinkedIn followers
- 500 followers
About Lea Collin
I am currently a Data Scientist at Spotify, working on Spotify’s self-serve ads product, where my work spans analytics engineering, experimentation, and cross-functional partnership. I spend most of my time building analytics pipelines, defining metrics frameworks, and measuring the impact of our feature launches. I care a lot about building data infrastructure that scales. Before Spotify, I studied Data Science at Columbia University. Outside of work, I\'m training for the 2026 NYC marathon.
Experience
Data Scientist
Oct 2022 — Present · NY, US
Developed complete data pipelines for Spotify Wrapped for Advertisers experience which recapped their year with Spotify Ads Manager; went out to 13k advertisers worldwide• Helped refactor all analytics data pipelines to use dbt and orchestrated them through Flyte to facilitate analytics work across Ads R\\ & D Insights teams• Enabled direct advertiser communication by co-designing a data schema for net new notification service within Spotify Ads Manager• Reduced time to detect data issues by setting up Slack alerts for data quality checks• Identified 5% increase in campaign rebooking rate from in-app notifications through causal inference analysis• Spearheaded experiment initiatives across organization and educated other data scientists across teams on experiment setup• Increased new advertiser activation rate by 6% by running and analyzing dozens of UI A/B tests• Helped guide product strategy by publishing a monthly Product Insights newsletter to Ads R&D leadership; reported on major KPIs and explained any significant movements in the metrics• Measured adoption and launch impact by creating Tableau and Looker dashboards for all major product launches
Education
McGill University
Bachelor of Science - BS, Computer Science and Biology
2014 — 2018
Columbia University
Master of Science - MS, Data Science
2018 — 2019
Skills
- Customer Service
- Sql
- R
- C
- Research
- Python
- Java
- Communication
- Public Speaking
- Machine Learning
- Spotfire
- Relational Databases
- Leadership
- F#
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