Zachary A. Goodman, Developer in San Diego, CA, United States
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Zachary A. Goodman

Verified Expert  in Engineering

Data Science Developer

San Diego, CA, United States
Toptal Member Since
August 25, 2022

Zack is a silicon-valley experienced and PhD-educated data science consultant with expertise in experiments, causal effect estimation, and cloud data tools. He holds a PhD in economics with a research focus on estimating causal effects using big data. Zack has over seven years of experience using Python, SQL, etc., to answer questions using data. He enjoys helping his clients achieve their goals, whether building data pipelines, automated dashboards, or conducting ad hoc analyses.


Zack A. Goodman Consulting
A/B Testing, Causal Inference, Data Science, Business Intelligence (BI)...
Google BigQuery, BigQuery, Google Cloud, Google Cloud Platform (GCP), SQL...
University of California - San Diego
Causal Inference, Big Data, Python, Jupyter, STATA, Experimental Design...




Preferred Environment

Python, Jupyter, RStudio, Google BigQuery, Google Cloud Platform (GCP), SQL, STATA, Looker, Pandas, Matplotlib

The most amazing...

...project I've done is leading a team of analysts and data scientists to build automated data pipelines, saving the organization around $5 million annually.

Work Experience


2022 - PRESENT
Zack A. Goodman Consulting
  • Designed and analyzed several A/B tests to help my clients increase revenue by over 33% and reduce employee turnover by over 75%.
  • Built dashboards in Looker and Tableau to track KPIs in real time, providing all content necessary for quarterly earnings reports.
  • Compiled, analyzed, and presented results from an internal employee survey with actionable recommendations about improving employee happiness and retention, which informed the A/B tests I later designed.
  • Managed QA for a database migration following changing SaaS providers and achieved zero lost revenue.
Technologies: A/B Testing, Causal Inference, Data Science, Business Intelligence (BI), Economics, Python, Jupyter, Git, Google Cloud, BigQuery, Looker, Tableau, SQL

Staff Data Scientist, Research Lead

2021 - 2023
  • Led a team of data scientists and analysts to conduct analysis and develop new data pipelines, saving the partner organization around $5 million per year.
  • Served as the primary point person for Looker infrastructure development, allowing analysts to build fast and reliable business intelligence dashboards.
  • Analyzed multiple natural experiments to determine the causal effects of policies and programs by partner organizations and the company.
Technologies: Google BigQuery, BigQuery, Google Cloud, Google Cloud Platform (GCP), SQL, Python, Causal Inference, Jupyter, Cloud Infrastructure, Looker, Data Science


2016 - 2021
University of California - San Diego
  • Served as the research lead on multiple projects, where I designed, implemented, and analyzed field experiments to provide evidence of program effectiveness for several education technologies.
  • Worked with the world's largest grocery store purchase dataset to determine the relationship between price changes and consumer behavior.
  • Analyzed a leading consumer panel dataset to examine how large income shocks affect consumer decision-making.
Technologies: Causal Inference, Big Data, Python, Jupyter, STATA, Experimental Design, Experimental Research, Economics, Economic Analysis, Surveys, Data Science

Data Science Intern

2019 - 2019
  • Demonstrated changes to the A/B testing suite to conduct experiments using much smaller samples and to require less time to detect effects.
  • Improved the design of the advertisement auctions by applying economic theory and testing the design using live data.
  • Built features and adjusted the existing machine learning architecture to improve advertisement click through rate predictions.
Technologies: Python, Redshift, Spark, Jupyter, Causal Inference, A/B Testing, Clustering, Machine Learning, Predictive Modeling, Marketplace Design, Data Science

Looker Infrastructure

Developed core Looker infrastructure, including integration with the Google Cloud Platform (GCP) and BigQuery, allowing analysts to build business intelligence dashboards and leadership to see KPIs in real-time.

Multiple Causal Analyses

Used applied econometric methods to analyze field and natural experiments. I incorporated differences-in-differences, synthetic controls, regression discontinuity, instrumental variables, and matching methods.
2016 - 2021

PhD in Economics

University of California - San Diego, CA, USA

2012 - 2016

Bachelor's Degree in Economics and Mechanical Engineering (Dual Degree)

North Carolina State University - Raleigh, NC, USA


Pandas, Matplotlib


Jupyter, Looker, BigQuery, STATA, MATLAB, Git, Tableau


Python, SQL


Data Science, Business Intelligence (BI)


Google Cloud Platform (GCP), RStudio




Google Cloud, Redshift, Google Cloud SQL


Google BigQuery, Causal Inference, Experimental Design, Experimental Research, A/B Testing, Regression, Econometrics, Applied Research, Linear Regression, Logistic Regression, Economics, Economic Analysis, Statistical Analysis, Statistical Data Analysis, Big Data, Machine Learning, Cloud Infrastructure, Predictive Modeling, Marketplace Design, Linear Algebra, Surveys, Clustering, Dashboards, Dashboard Design, Technical Writing

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