mail@lukedav.is | LinkedIn | (303) 478-2957 | Queens, NY
Data scientist and analytics leader with twelve years of experience building ML systems, defining product metrics, and leading experimentation at scale. Experienced in greenfield data function buildouts, full-stack MLOps, and translating user behavior into actionable product and business decisions.
| Platforms & Tools | Leadership & Strategy | Modeling & Analysis |
|---|---|---|
| SQL (Snowflake, BigQuery, dbt) | People management, strategy | Python and R (expert) |
| AI coding, AI agent development | Executive partnership | Statistical modeling, ML, inference |
| Tableau, Shiny, Looker, Mixpanel | Data governance and privacy | A/B testing, experimental design |
Experience
Warby Parker
Principal Data Scientist, June 2024 - Present
Built the data science function for a nationwide retailer ($1B revenue, 300+ stores).
Launched and scaled A/B testing program (>100 tests/year), guiding multimillion-dollar decisions; led close cross-functional work on the Advisor face-scan feature, including LTV vs. conversion tradeoff analysis across app and web implementations. Regularly present results to CEO.
Architected product analytics instrumentation in Mixpanel: defined core metrics, measurement windows, and session logic; worked with Mixpanel to overhaul and relaunch their experimentation features.
Led the experiment that sunset Home Try-On, saving several million dollars annually.
Run an ML-powered marketing optimization platform guiding ~$100M in annual budget allocation; built margin-adjusted spend-mix optimization between product lines, validated with causal inference methods.
Built end-to-end daily bookings forecasting pipeline: Prophet models in R/Python served via custom Docker on Vertex AI, orchestrated in Airflow, staged with dbt, and surfaced in Looker — with custom covariate decomposition showing the dollar contribution of seasonality, trend, holidays, macro factors, and marketing.
Built a predictive attitudinal segmentation classifier that scales survey-derived customer segments to the full customer population using demographics, purchase history, and web behavior.
Ontra
Sr. Data Scientist, September 2022 - June 2024
Built an interpretable customer-health model to proactively reduce churn in B2B clients, with factor-level transparency for CSMs and executive stakeholders.
Wrote internal standards for AI / LLM model evaluation methods.
Skillshare
Staff Data Scientist, January 2020 - August 2022
Advised C-suite with board-level analyses driving subscription and internationalization strategy, generating multi-million-dollar savings.
Managed two direct reports and cross-functional relationships with product managers.
edX
Sr. Data Scientist, February 2019 - January 2020
Partnered closely with product managers to design a sequence of tests on a full frontend and backend site redesign. Proved 20% conversion lift via A/B testing and custom propensity score matching analysis.
Introduced analytics engineering standards in dbt and mentored junior data scientists.
Publicis Groupe / Digitas
Sr. Data Scientist, December 2015 - February 2019
Built the firmwide data spine and analysis platform; trained 100+ analysts and data scientists worldwide.
Optimized ticket prices for a Broadway musical to balance profit and complex business requirements.
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 for philanthropic foundations.
Analyst at Latitude Research, 2013-2015
Conducted market research surveys and built dashboards and presentations for major media clients.
Education
Carnegie Mellon University
BS in Psychology (2009 - 2013)
Coursework in machine learning, data visualization, experiment design, and expertise.
Received multiple competitive research grants for educational game design.