mail@lukedav.is | lukedav.is | LinkedIn | (303) 478-2957 | Queens, NY
Data scientist and analytics leader with twelve years of experience translating complex data into actionable policy and business decisions. Experienced in building data functions, deploying machine learning at scale, and guiding executive strategy toward measurable, equitable impact.
| Platforms & Tools | Leadership & Strategy | Modeling & Analysis |
|---|---|---|
| SQL (Redshift, Snowflake, BigQuery, dbt) | People management, strategy, and hiring | R expert, experienced in Python |
| LLMs, RAG, AWS Bedrock, Copilot | Executive partnership, communication | Statistical modeling, ML, inference |
| Tableau, Shiny, Looker, Mixpanel | Project management, data governance | A/B testing, experimental design |
Experience
Warby Parker
Principal Data Scientist, June 2024 - Present
Rebuild the data science function for a nationwide retailer ($1B revenue, 300+ stores).
Launch and scale A/B testing program (>100 tests/year), guiding multimillion-dollar decisions.
Lead the experiment that sunset Home Try-On, saving several million dollars annually.
Develop an ML-powered marketing optimization platform guiding ~$100M budget allocation.
Implement MLOps in Vertex AI for forecasting, segmentation, and propensity models.
Ontra
Sr. Data Scientist, September 2022 - June 2024
Built an interpretable customer-health model to proactively reduce churn, with factor-level transparency for executives.
Skillshare
Staff Data Scientist, January 2020 - August 2022
Advised C-suite with board-level analyses driving strategy and multi-million-dollar savings.
Led international experimentation; managed two direct reports and cross-functional relationships.
edX
Sr. Data Scientist, February 2019 - January 2020
Measured 20% conversion lift from a full-site redesign via controlled experimentation.
Introduced analytics engineering standards and mentored junior scientists.
Publicis Groupe / Digitas
Sr. Data Scientist, December 2015 - February 2019
Built a firmwide big-data platform; trained 100+ global analysts.
Modeled Broadway ticket demand and pricing to balance profit and occupancy.
Selected Civic & Early Work
ACLU of Massachusetts (Pro-bono), 2015-2017
Led data analysis supporting CPCS v. Attorney General, which led to the largest dismissal of convictions arising from tainted evidence in U.S. history.
Analyst at Center for Effective Philanthropy, 2015
Managed internal SQL and Python tools to automate survey data processing.
Analyst at Latitude Research, 2013-2015
Conducted market research surveys and built Tableau dashboards.
Education
Carnegie Mellon University — BS in Psychology (2009 - 2013)
Courses in ML, data visualization, and statistics; multiple competitive research grants for educational game design.