Data Scientist

Role Overview

• Research and develop innovative AI and Machine Learning based approaches to help us deliver on our vision to make sure every employee feels valued, engaged, and knows their voice matters.
• Autonomously own part of our data strategy.
• Work in one of the world's most diverse and complex data environments.
• Bring together loosely structured datasets to find actionable outcomes that improve our customers' experience.
• Collaborate with a development team to translate their models into working software.

Requirements

• Advanced degree in Statistics, Computer science, Behavioural Science or Mathematics preferred
• 3+ years of experience analyzing product’s data, building AI/ML algorithms or making product focused impact with Data Science.
• Demonstrated experience in leveraging data for actionable insights using different techniques including AI, GenAI and ML.
• Demonstrated experience working with both structured and unstructured data and a deep understanding of ML algorithms and statistical modeling.
• Have software engineering skills (scripting is important for quick prototyping, but knowledge in OOP is crucial for the long run), fluency in Python and SQL.
• Experience with cloud platforms (e.g., GCP, BigQuery) and version control tools.
• Experience working in social networks, recommender systems and/or NLP applications
• Have deployed models to production with an engineering team.
• Excellent communication – written, conversational, presentation, and data-visualization.
• Experience with both software engineering (ideally in an agile environment and with programming best practices) and empirical science.
• Experience in an HR space (e.g. People Analytics) or knowledge of Organizational Psychology is highly desirable. Bonus:
• PhD in Machine Learning, Mathematics, Statistics, Computer Science or in another highly quantitative field
• Expertise in machine learning methods including Time series analysis, Hierarchical Bayes; and Learning techniques such as Decision Trees, Boosting, Random Forests, Deep Learning, Neural Networks

Tech Stack

• BigQuery
• Cloud
• Google Cloud Platform
• Python
• SQL

Benefits

• Rewards for your impact through our Recognition and Rewards program
• Health Benefits and Life Insurance Coverage beginning on your first day
• Parental Leave Top-up
• Employer matched RRSP contributions
• Flexible Vacation to recharge, so you can bring your best
• Employee and Family Assistance Program offering mental health, legal, and financial counselling
• Supported professional development and career growth (Linkedin Learning, mentorship)
• Employee-Led Employee Resource Groups that celebrate our diversity
• Regular events designed to build connection, belonging, and well-being
• Hybrid flexibility, with time in our beautiful Liberty Village, Toronto office