Kaylin Lee Email & Phone Number

Kirkland, Wa, Us

Seattle, Wa, Us

Serve as the single-threaded leader for Alexa Audio Analytics and Data Science working across multi-functional teams (Product, Engineering, Finance, Design, etc.); • Be responsible to create, annotate, and scale LLM/GenAI evaluation data to measure model accuracy and E2E CX quality; • Guide the long-term vision for the data pipelines, data repositories, and data models required to provide high-scale and high-integrity solutions that meet complex data needs (20TB/month); • Influence the Amazon data science community contributing to the Amazon Science Manager Interview Preparation guide, serving as Senior Area Chair for the Amazon Machine Learning Conference, and a panelist at Amazon AnalytiCon. • Drive analytical, problem-solving, and scientific best practices across teams to champion data-first culture based on learnings gained through Alexa Audio’s 14 critical goals and being accountable for the success of key goals including Listening Hours, Defect Rate, and monthly active users; • Hired 21 people (15 internal transfers), promoted 6 people, guided 3 lateral role changes, coached 3 underperformances, and developed a strong performing and layered team.

Seattle, Wa, Us

Defined and led scientists to build success measurement framework for emerging on-box marketing experiments using propensity score matching and difference-in-difference methodologies, and presented learnings to Amazon marketing SVP; Defined new downstream impact metrics on Purchase Frequency and estimated value across 80 High Value Actions across Amazon, so the business team can rank actions by long-term repeat purchase behavior when optimizing marketing contents; Hired 3 scientists within 7 weeks, promoted 1 scientist within 1 year, and established team charter, operating model, and prioritization framework; Co-author Monthly Business Review docs with stakeholder organizations for process updates and presented to Senior leadership in Amazon marketing.

Seattle, Wa, Us

Transformed semi-structured shopping cart datasets (3TB/day in JSON) into insights using HIVE and SQL; learnings were used in SVP level initiative, shared across Amazon retail orgs, and resulted in lowered core free shipping threshold for Non-Prime Customers. Created, automated, and maintained metrics reports via 80+ ETL jobs, and reviewed them with senior leadership weekly; Analyzed High-Value-Actions (HVA) events such as 1-Click and Buy Now and predicted customer’s Downstream Impact (DSI); results contributed to 1-Click checkout deprecation across Amazon; Identified growth opportunities for customers with empty shopping carts via descriptive analysis, advocated for experimentation, and resulted in $80MM incremental profitability.

Charlotte, Nc, Us

Designed 5 matched-market experiments to measure Targeted Offer performance and impact on marketing strategy using pseudo-control methodology. Performed timely and accurate analysis across digital, banking center, and call center channels; insights contributed to strategic planning and development decisions. Presented to executives with data-driven recommendations on the marketing opportunities across 3 preferred rewards customer cohorts. Promoted to VP business title within one year.

Charlotte, Nc, Us

Developed 4 next generation decision tools and predictive models for the Targeted Offer Organization used to target 77 MM customers. Independently managed 10+ senior stakeholders, gathered project requirements for cross-sell targeting via call centers, branches, and online channels. Performed quarterly model evaluation and maintained 80% f-1 score. Won Gold Award on data migration implementation, Silver Award on Pseudo Control Methodology, Bronze Awards on conversion ad hoc analysis and Associate Appreciation Week.

Master Of Business Administration (Mba)

Ms, Statistics

Bs, Mathematics