MH

Madison Hawkinson

Investing in early data and AI at NEA | Data Scientist | Ex-Meta

San Francisco Bay Area

Invests in

Stages:

  • Min Investment:

    $2,000,000.00
  • Max Investment:

    $5,000,000.00
  • Target Investment:

    $3,500,000.00

Work Experience

  • Principal

    2024

    Invests in infrastructure, dev tools, data, agents and AI from seed - Series B. Leads internal firm-wide data & AI platform for data-driven investing.

2022 - 2024

  • Investor

    2022 - 2024

    Invested in infrastructure, developer tools, data, agents, generative AI, and AI/ML at the earliest stages. Advises on generative AI and data product strategy for startups of all sizes. Investments: Delphina.ai, Probabl.ai, Mindtrip.ai, Fixify.com, Sygmahq.com and SelfInspection.com Other Companies I Worked With: SyncComputing.com, Definite.app, Noteable.io (acq by Confluent), Rafay.co https://www.costanoavc.com/a-data-scientists-next-career-experiment-investing-at-costanoa/

2021 - 2022

  • Head of Data Science and Machine Learning

    2021 - 2022

    Led data science, machine learning and infrastructure for ecommerce product optimization including the ML platform, dynamic pricing optimization, demand forecasting, marketing, data-driven acquisitions, and product lifecycle. Deployed multiple systems leading to $100Ms+ in incremental EBITDA measured through experiments. Led team of 19 data scientists, ML engineers, platform engineers and managers.

2020 - 2021

  • Head of Data Science

    2020 - 2021

    Led data science, product and engineering for $2B venture capital fund including building the data science platform and product roadmap for data-driven venture capital investing, fund management and diligence. Managed team of data engineers, software engineers, data entry teams, and data scientists/analysts.

2017 - 2020

  • Data Science Manager

    2020 - 2020

    Led team's research across the auction, ads ranking, personalization, explainability, responsible AI and ML platform. Worked primarily with FAIR on autoML, neural architecture search, data mining, feature importance and selection, model evaluation and performance optimization.

  • Senior Data Scientist

    2019 - 2020

  • Data Scientist

    2017 - 2019

2017 - 2017

  • Researcher

    2017 - 2017

    Research Fellowship on Product Pricing on seed startup

  • Investment Banking Summer Analyst

    2015 - 2016

    Technology Coverage

  • Investment Banking Summer Analyst

    2015 - 2015

    Consumer & Retail Coverage

2015 - 2015

  • Researcher

    2015 - 2015

    Management Science & Engineering department with Lockheed Martin

  • Researcher

    2014 - 2015

    Center for Entrepreneurial Studies and the Startup Garage

2014 - 2014

  • Research Intern

    2014 - 2014

    Research on Investment Trends and Startups