Our Data Scientists are a highly motivated and curious group
They’re spearheading Achievers’ efforts to build products powered by AI and enjoy solving all the problems that come with building at scale
We don’t operate under a rigid structure, as a member of this team, you’ll have the opportunity to shape the work and the craft
In this role, you’ll 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
You will have the opportunity to autonomously own part of our data strategy, work in one of the world’s most diverse and complex data environments, and bring together loosely structured datasets to find actionable outcomes that improve our customers’ experience
Lead high-impact initiatives that shape how millions of people experience work around the world
Bring your unique perspective to complex and challenging projects - apply your expertise in data science, influence technical direction, and share your knowledge with fellow team members
Join a close-knit, no-ego, high-performing team that solves meaningful problems and celebrates successes together
Work alongside an experienced leadership team who is genuinely invested in your career growth
Thrive in a fast-paced, high-growth environment where innovation is encouraged and your voice truly matters
Work with a team of passionate data scientists on a variety of projects. Use both your IQ and EQ to support yourself, your team, and your company in achieving more inside and outside the office
Work with Product Managers and Development teams to develop, deploy, and monitor Machine Learning solutions that are integrated into software products, ensuring scalability, reliability, and maintainability through modern MLOps practices




Work with the Workforce Science team to push the boundaries on what is known about the “how” and “why” of the ways people work and interact with their peers
Work with the Product team or other internal teams to analyse data such as feature usage and adoption and uncover insights to guide future product investments or business directions
Work with the Client Success team to explore how recognition/engagement data relates to customer data and business metrics
Collaborate with customer-facing teams, Product, and Data Engineering teams to analyze insights, feature usage and adoption to guide product investments, program optimization and business directions
Develop repeatable frameworks and templates for insight generation, including benchmarking, demographic breakdowns, and engagement scoring
Bring an “A-Player” attitude: aiming for the happiness of your stakeholders; erring on the side of quick communication and deep collaboration; strong sense of integrity and respect toward your colleagues (and everyone) that you express with helpfulness – you’re a team-player
Benefits Parental Leave Top-up
Versatile Vacation
RRSP Matching
Health Benefits and Life Insurance Coverage Upon Your First Day
Employee and Family Assistance Program
Internal Mentorship Program
Full access to the LinkedIn Learning Library
Employee-Led Employee Resource Groups
Participation in our Points-based Employee Recognition Program
A beautiful office space located in Liberty Village, Toronto
Opportunities for professional development and career growth




The successful candidate will also have experience working with a development team to translate their models into working softwareWe’re looking for a Data Scientist with a strong background in applied Machine Learning, who has experience using data to produce models that power real-world solutions which are actively being used by customersExcellent communication – written, conversational, presentation, and data-visualizationHave software engineering skills (scripting is important for quick prototyping, but knowledge in OOP is crucial for the long run), fluency in Python and SQLDemonstrated experience working with both structured and unstructured data and a deep understanding of ML algorithms and statistical modeling3+ years of experience analyzing product’s data, building AI/ML algorithms or making product focused impact with Data ScienceExperience working in social networks, recommender systems and/or NLP applicationsDemonstrated experience in leveraging data for actionable insights using different techniques including AI, GenAI and MLHave deployed models to production with an engineering teamExperience with cloud platforms (e.g., GCP, BigQuery) and version control toolsExperience in an HR space (e.g. People Analytics) or knowledge of Organizational Psychology is highly desirableExperience with both software engineering (ideally in an agile environment and with programming best practices) and empirical scienceAdvanced degree in Statistics, Computer science, Behavioural Science or Mathematics preferredPhD in Machine Learning, Mathematics, Statistics, Computer Science or in another highly quantitative fieldExpertise in machine learning methods including Time series analysis, Hierarchical Bayes; and Learning techniques such as Decision Trees, Boosting, Random Forests, Deep Learning, Neural Networks

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📌 Data Scientist (Quebec City)
🏢 Achievers
📍 Quebec City