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