Our client is a high growth, exciting and already-profitable startup in Toronto - a chance to join a Rocketship at an early stage.We're seeking a versatile Full Stack Data Scientist to drive data-driven decision making across their product organization. In this role you'll embed within specific business units to deliver end-to-end data solutions and tangible business impact.This is a hybrid role, HQ downtown TorontoWhat You'll Do:Build complete data pipelines from engineering through to executive dashboards and business metricsDevelop and maintain data models using Kimball/Ross methodologiesCreate interactive dashboards and visualizations (primarily using Streamlit)Conduct deep-dive analyses to uncover product insights and size market opportunitiesDesign and analyze experiments to optimize product performanceDeploy and maintain generative AI solutions in production environmentsPartner closely with product teams to define and track key metrics for new product initiativesWhat We're Looking For:Strong product analytics background with experience supporting brand recent product launchesFull-stack data capabilities spanning data engineering, modeling, visualization, and business analysisProficiency in dashboard building tools, especially StreamlitExperience with machine learning and generative AI deployment (bonus, not primary focus) - ideally you have LLMs in productionExcellent communication skills with ability to translate complex analysis into actionable business recommendationsMission-driven mindset with passion for driving real business outcomesProven track record of working autonomously across multiple business functionsComfortable with/experienced in working in a fast-paced startupThis role is ideal for someone who thrives on variety, enjoys solving diverse data challenges, and wants to see their work directly impact product strategy and business growth.CompensationThe base pay range for this role is CA$150,000 – CA$200,000 per year + equity#J-18808-Ljbffr

📌 Data Scientist - C$150,000 - C$200,000 A Year (Toronto)
🏢 Syndesus
📍 Toronto