Nolan Fox
Data Scientist
Data Scientist with 17+ years of experience building production data systems. Expert in architecting internal AI agents, optimizing marketing data pipelines (dbt/Snowflake), and driving GTM strategy at high-growth tech companies. Deep expertise in product analytics, experimental design, and defining metrics that drive roadmap decisions and user growth.
Experience Log
Notion
2024 — 2026Product Data Scientist - Marketing
- Built AI-enabled social listening platform automating sentiment analysis and keyword categorization.
- Delivered weekly marketing performance reports to CMO and led student growth forecasting for multiple campaigns.
- Identified and fixed a critical Salesforce pipeline logic error via dbt, correcting a $1.7B over-counting discrepancy to an accurate $60M figure.
- Built international growth dashboard by language to prioritize localization investments across 100+ countries.
- Supported product launch for Notion Faces, Notion Mail, AI Meeting Notes, and Offline Mode campaigns.
Cash App (Block, Inc.)
2022 — 2024Product Data Scientist - Marketing
- Built Product Data Science support for marketing stakeholders from the ground up, leading DS for GTMs of Gift Card, Savings, and Mood Card.
- Produced an internal Media Mix Model (MMM) for the Paid Acquisition Team to optimize spend allocation.
- Created lookalike audiences for various Paid Acquisition Campaigns and planned experimental design for Teens/Families Marketing Campaigns.
- Improved measurement and assisted expansion of Banking Triggered Campaigns.
Cash App (Block, Inc.)
2021 — 2022Product Data Scientist - Financial Platform
- Led the launch of Prepaid Debit Card acceptance, resulting in $7 billion in incremental GPV.
- Optimized debit network transaction routing, resulting in $57 million in annual savings.
- Expanded coverage of cost data model to include migration from monolith to service-oriented architecture.
- Provided analytic support for negotiations with and transaction routing optimization of debit networks.
IKASI
2014 — 2021Co-Founder and Chief Data Scientist
- Led product development of a platform automating supervised learning and experimental design for outbound marketing campaigns.
- Built Reinforcement Learning models to optimize player investment that led to a 7% revenue rise in multiple $250M revenue casinos.
- Launched platform analyzing healthcare data to predict seroprevalence and vaccine deployment using MCMC models during COVID-19.
- Recruited and managed Data Science and Engineering teams from scratch.
- Created bespoke ensemble model using Deep Learning, XGBoost, and other algorithms.
Facebook (Meta)
2013 — 2014Data Scientist - Internet.org Growth
- Owned analytics for BI portal serving 2,000+ mobile carriers across APAC, LATAM, and MENA.
- Lead analyst on the first Internet.org test (Tigo PY), driving 300k incremental internet users.
- Implemented adjustments to internal carrier detection that improved attribution by 8%.
Adaptly, Inc.
2012 — 2013Data Scientist
- Improved optimization on social media advertising campaigns, resulting in $28M of incremental revenue.
- Optimized proprietary budget allocation algorithm, Circuit, resulting in a 17% lift in efficiency.
- Designed, tested, and optimized Evergreen advertising spend algorithm.
Capital One Financial Services
2009 — 2012Senior Business Analyst
- Lead analyst for acquisitions valuations for marquee product, Venture credit card.
- Delivered credit approval for reactive credit limit increase program, producing a $50 million annual NPV.
- Produced monthly staffing and financial forecasts for 2,000+ person Collections network.
Education
University of Florida
2008Bachelor of Science
Capabilities
AI Engineering: Custom Agents (Notion AI, OpenAI API), FastHTML, Cursor, Claude Code
Data Engineering: dbt, Snowflake, Hex, Airflow, SQL
Data Science: Python (Pandas, Scikit-Learn), Causal Inference, Marketing Mix Modeling (MMM)
Tools: Salesforce, Amplitude, Google Analytics, Tableau, AWS, Docker
Projects
A selection of systems I've architected.
Rhodesli Heritage Mapper
In ProgressComputer vision pipeline using facial recognition (dlib/OpenCV) to trace family lineage through archival photographs.