Pak Shing Ho

From experiment design to decision systems: turning data into reliable business actions.

Bridging econometrics and ML to improve high-stakes decisions at scale.

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Pak Shing Ho

Pak Shing Ho

Applied Scientist

LinkedIn

Amazon

Boston University

Biography

Pak Shing Ho is an Applied Scientist at LinkedIn (ex-Amazon) with 8+ years of experience building forecasting and causal inference systems for product, finance, growth, and operations decisions.

Interests

  • Causal Inference
  • Time Series Forecasting
  • Experimentation and Uplift Modeling
  • Machine Learning Systems

Education

  • Ph.D., Economics, 2021

    Boston University

  • M.Res., Economics and Finance, 2015

    Universitat Pompeu Fabra (Barcelona GSE)

  • M.Sc., Economics, 2013

    London School of Economics and Political Science

  • B.Com., Economics, 2012

    The University of Melbourne

Skills

Python

90%

R

95%

Statistics

100%

Command Line

80%

Git

95%

Overleaf

100%

Experience

Professional

 
 
 
 
 

Applied Scientist/MLE/Economist

LinkedIn

Jan 2025 – Present San Francisco Bay Area

Responsibilities include:

  • Building end-to-end machine learning and causal inference systems
  • Combining experimental and observational data for long-term decision optimization
  • Developing scalable forecasting workflows for product, growth, and finance outcomes
 
 
 
 
 

Lead Scientist/Economist - Seller Growth & Amazon Shipping

Amazon

May 2020 – Jan 2025 Seattle, Washington, United States

Responsibilities include:

  • Leading forecasting and causal inference systems for the global seller ecosystem
  • Designing interpretable forecasting engines for revenue, growth, traffic, and LTV planning
  • Building causal ML frameworks for feature uplift and campaign effectiveness
 
 
 
 
 

Economist

Amazon

May 2020 – Aug 2020 Seattle

Responsibilities include:

  • Causal inference and quasi-experimental analysis
  • Time series forecasting and risk decomposition
  • Business insight generation for planning and decision support
 
 
 
 
 

Quantitative Researcher

Geode Capital Management

Jun 2019 – Aug 2019 Boston, Massachusetts

Responsibilities include:

  • Equity alpha research focused on ESG and sustainability factors
  • Constructing and back-testing proprietary ESG trading signals
 
 
 
 
 

Researcher (NBER Affiliate)

Boston University

May 2018 – Jan 2019 Greater Boston Area

Responsibilities include:

  • Text and numeric data research for financial-market projects
  • Data mining, feature engineering, and statistical modeling
 
 
 
 
 

Research Assistant (affiliated, part-time)

National Bureau of Economic Research

May 2018 – Jan 2019 Greater Boston Area

Responsibilities include:

  • Building text-based risk measures from large-scale firm disclosures and transcripts
  • Supporting empirical research on political risk, global risk, and capital flows
 
 
 
 
 

Teaching Associate

Boston University

Sep 2016 – May 2020 Greater Boston Area

Responsibilities include:

  • Teaching graduate and undergraduate economics courses
  • Holding consultation hours and supporting student learning
  • Designing and evaluating assignments and exams
 
 
 
 
 

Research Associate

Boston University

Aug 2015 – Jan 2021 Boston, Massachusetts, United States
Research fields include empirical finance, firm dynamics, quantitative macroeconomics, ESG strategies, and textual data analysis.
 
 
 
 
 

Research Associate

Barcelona Graduate School of Economics

Sep 2013 – Jul 2015 Barcelona Area, Spain
Research assistantship and quantitative economics support.
 
 
 
 
 

Research Associate

Universitat Pompeu Fabra

Sep 2013 – Jul 2015 Barcelona Area, Spain
Research assistantship and quantitative economics support.

Projects

Contact

  • 270 Bay State Road, Boston, MA 02215
  • Enter School of Social Work (SSW) building from the east wing and take the stairs to Office B21 on the basement floor.
  • Office hours: online appointment only.
  • Book an appointment
  • LinkedIn
  • GitHub