Jacob Hazen

A brief self-introduction: I like machine learning, data science and programming—this is because I go insane if my mind is not occupied. Before becoming a Ph.D student, I worked as a Data Scientist for the Federal Government on projects such as $180 billion Investing in Canada Infrastructure Project and on a Natural Language Processing project in the Canada’s House of Commons

I am in my second year of a Ph.D in Economics at McGill University. My research interest involves the overlap of Economics, Data Science, and Computer Science—specifically Natural Language Processing. Specifically in Economics, my interests are: Labour Economics, Applied Microeconometrics, Child Development, Public Economics and Education.

Apart from being a student, I enjoy most of my time being outdoors and off my computer. In the winter, I am an frequent hockey player, casual snowboarder, and runner. During the warmer months, I am a frequent skateboarder.

You can find my CV here

Photo Gallery



Research Assistant

● Dr. Fabian Lange (McGill - 2023)
● Dr. James MacKinnon; Dr. Matthew Webb; Dr. Morten Nielsen (Carleton & Queens - 2022) Link to paper
Apex Research Group (Carleton - 2022)
● Dr. Alexander Whalley (University of Calgary - 2020)

Teaching Assistant

McGill & Carleton University

● Intro Microeconomics (McGill)
● Graduate Level Macroeconomics (Carleton)
● Graduate Level Data Science (Carleton)
● Applied Data Analysis (Carleton)
● Applied Data Analysis (Carleton)
● Econometrics(Carleton)
● Intro Microeconomics (Carleton)

Data Scientist

Infrastructure Canada

● Created interactive Power BI dashboards for the $180-billion Investing in Canada Infrastructure Plan
● Natural Language Processing research to analyze conversations in parliament and how it might impact specific socioeconomic variable
● I developed multiple dynamic web scrapers to extract information that was manually collected for parliament

May. 2021 – Aug 2022

Data Scientist - Internship

Critical Mass

● Developed Python and Machine Learning Models to predict and understand company & employee logistics, specifically making use of the Random Forest Model
● I identified key areas where the Critical Mass could perform better, allowing for increased performance and satisfaction among employees
● Worked with relational database management systems using queries and schemas (MySQL, SQL). To fetch and update sensitive data

Jan 2020 – Apr 2020

Education, CGPA 3.9/4

McGill University

Ph.D in Economics
● Awards: Graduate Excellence Award in Economics
Aug. 2022 - Present

Carleton University

M.A. Economics & Data Science
● Thesis: Unsupervised Textual Mining Techniques for Forecasting Crude Oil
● Organizations: Co-President; Elected Departmental Steward;
● Awards: Randall Geehan Memorial Scholarship in Quantitative Economics; Departmental Merit Scholarship
Sept. 2020 - May 2022

University of Calgary

B.A. in Economics & Computer Science
● Organizations: Director for Canadian Organization for Undergraduate Health Research , 2019-2020;
● Activities: Varsity Athlete, 2017;
Sept. 2016 - May 2020

Working Papers

Canadian Employment Dynamics During and After the Pandemic: Composition Changes and Wage Inequality.

Lange Fabian, Ablay Mahmut, Hazen Jacob
● Link

Did the Pandemic and Current Labour Shortages Change the Quality of Jobs?

Lange Fabian, Bissonnette Luc, Ablay Mahmut, Hazen Jacob
● Link


Programming Languages & Tools
     ● Python, Expert;
     ● Git, Expert;
     ● Docker, Expert;
     ● R, Proficient;
     ● SQL, Proficient
     ● Linux/Unix, Proficient;
     ● Power BI, Intermediate;
     ● Power Query, Intermediate;
     ● Java, Intermediate;
     ● STATA, Beginner;

Soft Skills
  • Teamwork
  • Project Management
  • Public Speaking
  • Leadership

Awards & Certifications

  • Graduate Excellence Award in Economics (McGill)
  • Randall Geehan Memorial Scholarship in Quantitative Economics
  • Ontario Graduate Scholarship
  • Government of Canada - Instant Award
  • Data Science - IBM Certification
  • Departmental Merit Scholarship , 2020 & 2021 - Carleton University
  • Jason Lang Scholarship
  • Alexander Rutherford Scholarship
  • Dean’s list, 2020 - University Calgary
  • 1 st Analytics Winner - Canada’s Big Data Challenge (Mentor Position)


Honour's Micro Theory

ECON 250D2

Fall 2021

Graduate Macroeconomics (Carleton)

ECON 5021

Fall 2021

Graduate Special Topics in Data Science (Carleton)

ECON 5880

Fall 2021

Introductory Microeconomics (Carleton)

ECON 1001

Winter 2021


With years of experience in data science, I have the expertise and skills needed to provide top-level solutions for your data science projects.

I offer a free 30-minute Zoom call where we can discuss your data problem and how I can help you solve it. Pricing for individual projects varies, so please feel free to reach out to me via email or through my social media accounts for more information. I look forward to hearing from you!


Stayed tuned? When I have more time...