Jared Donohue

Researcher & Product Scientist

About Me

I'm a researcher in the Decision, Risk, & Operations division at Columbia Business School. I also run Product Science Consulting. My passion is to blend research methods with product thinking to understand users and build better products for them. Previously, I led engineering and product teams at Amazon for 8 years, applying human-centered, scientific approaches to improve Alexa for millions of customers.

Products

Alexa Plus

Alexa+

Launched innovative audiovisual screen responses for Alexa+, the next-generation of Alexa powered by generative AI. Read more here.

Amazon Echo Show

Echo Show

Increased device interaction and customer satisfaction with Alexa's smart display devices. Read more here.

Alexa Answers Website

AlexaAnswers.com

Led 10x growth in monthly active users through product experiments and marketing expansion. Read more here.

Mayah Design

Mayah Design

Built AI image analysis & product analytics to boost customer satisfaction at Mayah Design startup.

Urban Water Swims

Urban Water Swims

Built online directory for finding open-water swim races in New York and Boston.

Eatopia

Eatopia

Built behavioral nutrition app prototype to nudge users towards healthier eating habits.

First-Time Home Buying

First-Time Home Buying

Built first-time home-buying guide with negotiation simulator and rent vs buy graphs.

Research

Cloud Seeding Image

Scientific Data Creation & Validation using LLMs

Published "Structured dataset of reported cloud seeding activities in the United States (2000–2025) using an LLM". Built pdf-to-text pipeline with OpenAI integration to extract metadata from 1,000+ scanned NOAA reports, addressing a gap in structured cloud seeding data: Nature Scientific Data

Behavioral Science Image

Behavioral Economics Experiment

Proposed original behavioral economics experiment to test for k-level strategic route choice in navigation apps (e.g. Google Maps): PDF

Streamlit Dashboard for Trucking Market Research

Market Research & Customer Segmentation

Researched the U.S. trucking market to segment companies best fit for an insurance tech startup. Delivered logistic regression model to predict company fit, and an interactive Streamlit dashboard for filtering companies on 10+ key dimensions: PDF

Swim the Charles River

Swim the Charles River

Analyzed historical Charles River water-quality data from sensor buoy to infer safe swimming conditions and communicate health risks. GitHub

Education

Columbia University

M.S. Data Science, Columbia University

  • Data Science Institute Scholar
  • Selected Coursework: Design & Analysis of Online Experiments, Causal Inference, Statistical Inference & Modeling, Philosophy of Science, User Interface Design, Behavioral Economics, Columbia Build Lab
George Mason University

B.S. Computer Science, George Mason University

  • Computer Science Teaching Assistant and Peer Mentor
  • Selected Coursework: Computing for Scientists, Physics, Intermediate Microeconomics, Advanced Object-Oriented Programming, Mobile Application Development, Rapid Web Application Prototyping