Rob J. Wang Email & Phone Number

San Francisco, Ca, Us

San Francisco, Ca, Us

Head of Data Science, Square Point of Sale and Health & Beauty Audience.- Led the creation of various deep learning and natural language processing solutions for up-leveling merchant categorization, powering company-wide KPIs.- Developed org-level ML, experimentation, metrics, and data engineering strategy for Square's unified point of sale system and Health and Beauty merchants, significantly increasing incremental revenue.Previously: Senior Data Science Manager for Square Appointments, Conversations, and Go.- Directly drove data science strategy and workflows for two 0 -> 1 product launches.- Tackled challenging business problems ranging from the seller growth lifecycle and messaging platforms to buyer-facing marketplace growth, driving significant incremental revenue.- Managed both data scientists and machine learning engineers; reported directly to a General Manager.

Menlo Park, California, Us

Engineering Manager - Data Science, Anti-fraud Transaction Profiling team.- Tackled fraud detection problems across ACH transfers, debit card, crypto, and emerging fraud spaces, generating tens of millions of incremental fraud loss savings.- Contributed to Robinhood's ML model production workflows (e.g. holdout groups, feature stores, model retraining, etc.).- Drove extensive collaborations with Fraud Operations, Security, Finance, Customer Care, Risk, Financial Crimes, Data Engineering, ML Platform, and multiple product teams.- Scaled number of reports from 3 to 10; reported directly to the Robinhood Head of Data.Previously: (First) Senior Data Scientist on the Anti-fraud team.- Built ML models for reducing first-party fraud on the Robinhood platform.- Led efforts to up-level ML tooling / processes, experimentation, and fraud metrics tracking.

San Francisco, California, Us

Senior Data Scientist on the Expansion (Growth) team.- Operationalized new metrics at the company-level to guide product strategy.- Developed upgrade prediction model (PySpark) to guide targeted promotion campaigns.- Contributed to the improvement of the internal A/B testing framework.

San Francisco, Ca, Us

Data Scientist - Algorithms on the Trust (Financial Fraud) team; Data Scientist - Inference on the Payments (Guest Commerce) team.- Developed real-time machine learning models to help Airbnb reduce fraudulent chargebacks, generating millions in incremental fraud loss savings.- Built scalable data pipelines to measure the performance of fraud defenses, projected chargeback rates, etc.- Designed and analyzed A/B tests to provide Product team with actionable insights.

Stanford, Ca, Us

- Course instructor for MS&E 121 Introduction to Stochastic Modeling (undergraduate).- Teaching assistant for MBA course on optimization, simulation, and modeling.- Teaching assistant for Ph.D. courses on revenue management, stochastic systems, and stochastic calculus.- Case study research for online executive education.

Ottawa, Ontario, Ca

Three consecutive summers as an undergraduate research student at the Department of Mathematics and Statistics, Queen's University, tackling projects revolving around:- Stochastic simulation and queueing theory.- Random matrices and free probability.- Analytic number theory.

Ph.D. In Management Science And Engineering, Operations Research

M.S. In Statistics

B.Sc. (Honours) In Mathematics

Education record

A.R.C.T. In Piano Performance (First Class Honours)