Data ScientistWe're looking for a curious, rigorous Data Scientist to turn our data into a strategic advantage for brands and creators. You'll design and ship models that power creator discovery, campaign performance, and audience insights, working end to end from problem framing to production deployment.Experience 7 + Years Job type Full Time Location Flexible Language English / French Salary ~$150,000 CADRole OverviewWe're looking for a Data Scientist to own key modeling and analytics initiatives across Heylist. You'll build and deploy machine learning models for creator matching, campaign forecasting, audience segmentation, and content performance. You'll partner with Engineering to bring models into production, with Product to prioritize the highest-impact bets, and with Marketing and Customer Success to turn insights into stories our customers can act on.Key Responsibilities1. Modeling & Machine LearningDesign, build, and deploy ML models for creator discovery, matching, and performanceOwn the full model lifecycle, from problem framing to production monitoringAdvance our capabilities in embeddings, ranking, and recommendation systemsExplore generative AI use cases across product and internal workflows2. Analytics & InsightsAnalyze first-party and social platform data (Meta, TikTok, and others)Surface actionable insights for Product, GTM, and executive stakeholdersDesign experiments and drive rigorous causal analysisBuild dashboards and internal tools that make data accessible3. Productionization & MLOpsPartner with Engineering to productionize models on our cloud stack (Azure)Establish standards for model evaluation, monitoring, and retrainingEnsure responsible use of AI and appropriate handling of sensitive data4.



Team BuildingContribute to the data science roadmap and strategyMentor peers and set best practices as the team growsCollaborate across Data Engineering and Product on shared foundationsWhat You'll OwnData science strategy and roadmapModel quality, reliability, and business impactBest practices for experimentation and evaluationRequirements7+ years in Data Science, Machine Learning, or Applied ML (SaaS, MarTech, AdTech, or consumer platforms)Degree in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent experienceStrong programming skills in Python and modern ML/data stacks (pandas, scikit-learn, PyTorch or TensorFlow)Solid grounding in statistics, experimentation, and causal inferenceExperience deploying models to production on cloud infrastructure (Azure)Experience with SQL and relational databases (Postgres)Excellent communication skills for translating modeling work into business narrativesNice to HaveGenerative AI, LLMs, embeddings, or recommendation systemsSocial platform APIs (Meta, TikTok)MLOps tooling and infrastructure-as-code (Terraform)Prior work in influencer marketing, creator economy, or social analyticsSuccess MetricsBusiness impact of models shipped (revenue, adoption, engagement)Model quality, latency,



and reliability in productionSpeed from problem to shipped modelAdoption of experiments and insights across the companyAbout HeylistAbout Heylist Heylist is transforming how brands and creators collaborate. Our platform helps marketers identify the right creators, streamline campaign management, and measure results with confidence. We partner with leading global brands and are building the go-to solution for data-driven creator marketing.We're a quick-growing, venture-backed team fueled by curiosity, creativity, and execution. If you thrive in high-velocity environments and want to shape the future of the creator economy, you'll feel right at home.Our Core Values Trust is how people grow ideas, communities, and brands. We believe the future belongs to those who empower human creativity, earn trust, and create opportunities together.At Heylist, we're reimagining how consumers and marketing collaborate. We're helping brands activate trusted communities, transform customers into creators, and make social marketing an always-on engine for growth.Our goal is simple: help every brand grow through the people who trust it most. One Be curious. Understand deeply. Two Cancel the noise. Simplify complexity. Three Be optimistic. Find the opportunity. Four Be useful. Help others win. Five Pursue excellence. Make good great. Six Stay relentless. Deliver results. Seven Be proud. As a team.Benefits & Well-beingHealth & wellness Group insurance coverage and retirement savings contributions.Equity & ownership Stock option plan to grow with the company.Work tools Essential work tools covered by the company.Flexible paid time off Flexible paid days for illness or family obligations.Inclusion & diversity A diverse and inclusive environment where everyone is empowered to contribute. #J-18808-Ljbffr

📌 Data Scientist Data Flexible Apply (Montreal)
🏢 Heylist
📍 Montreal