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 — 2026

Product 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 — 2024

Product 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 — 2022

Product 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 — 2021

Co-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 — 2014

Data 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 — 2013

Data 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 — 2012

Senior 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

2008

Bachelor 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 Progress

Computer vision pipeline using facial recognition (dlib/OpenCV) to trace family lineage through archival photographs.

#Computer Vision#Python#History