Junior Data Scientist
Paria Zabihitari
Paria contributes to the development of data-driven solutions that help organizations transform complex datasets into actionable insights. Her work focuses on machine learning, predictive analytics, natural language processing, and cloud-based data workflows to support informed decision-making.
Prior to her current role, Paria worked on AI and machine learning projects involving large-scale data processing, intelligent retrieval systems, and analytical pipeline development. She has experience building scalable ML workflows and applying statistical and AI methods to solve complex business and operational problems.
Paria holds a master’s degree in Computer Engineering with a concentration in Artificial Intelligence. Her interests include machine learning, NLP, data analytics, and applied AI systems, and she is passionate about leveraging data and technology to build practical solutions with measurable real-world impact.
Recently Added
Addressing the data gap in AI and worker health
Authors Dr. Arif Jetha, Associate Scientific Director, Institute for Work & HealthMitchell Lane, Mitchell Lane, Graduate Student Researcher, Institute for Work & HealthDr. Faraz Vahid Shahidi, Scientist, Institute for Work…
Is information the missing ingredient for apprenticeship success?
Authors Hamish Ride, Principal at Nous GroupNathalie Mejia, Director at Nous Group Introduction Canada’s federal investment of more than $8 billion in apprenticeships reflects a clear policy ambition: grow the skilled…
Reflections from CEWIL 2026: Staff Takeaways
This year’s Co-operative Education and Work-Integrated Learning (CEWIL) conference, Pathways to Partnerships, explored the perspectives of the individuals and groups across Canada’s youth employment ecosystem who influence and are influenced…
Using Labour Market Indicators to Understand Labour Market Imbalances: An LMIC Guide
This guide explains several key labour market indicators that help us interpret labour market imbalances in Canada. It focuses on how we can measure labour market imbalances using labour market…
A Changing Workplace: How AI Is Influencing Youth Careers
Author Laura Adkins-Hackett, Senior Economic Advisor at Labour Market Information Council Introduction For young people trying to start a career, AI is arriving at an already uncertain time. The conversation…
Conversations With Experts: Six Things to Think About When Using AI and Emerging Technologies in Labour Market Information
Drawing on conversations with Canadian vendors, this LMIC Insight highlights the story of the rise of AI in LMI, the current AI landscape and policies in Canada, and six key…
The Way of the Future: How LMIC Is Approaching AI’s Impact on LMI and the Future of Work
Author Ken Chatoor, Director of Research and Strategic Foresight at Labour Market Information Council A pivotal moment for the labour market-and the data we use to make sense of it…
LMIC and CCDF Announce Joint 2026 Research Partnership
Introduction The Labour Market Information Council (LMIC) and the Canadian Career Development Foundation (CCDF) have announced a partnership to understand how career development practitioners across Canada access and use labour…
LMIC and CCDF announce joint 2026 research partnership on labour market information use in career development
Ottawa, ON | January 26, 2025 – The Labour Market Information Council (LMIC) and the Canadian Career Development Foundation (CCDF) today announced a joint research partnership to examine how career…
Labour Market Imbalances: An LMIC Guide
This guide provides key insights into labour market imbalances in Canada. It explains how to identify them and how to understand their implications. It’s designed for anyone interested in understanding…