Data Scientist

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 Toronto What You'll Do: Build complete data pipelines from engineering through to executive dashboards and business metrics Develop and maintain data models using Kimball/Ross methodologies Create interactive dashboards and visualizations (primarily using Streamlit) Conduct deep-dive analyses to uncover product insights and size market opportunities Design and analyze experiments to optimize product performance Deploy and maintain generative AI solutions in production environments Partner closely with product teams to define and track key metrics for new product initiatives What We're Looking For: Strong product analytics background with experience supporting brand new product launches Full-stack data capabilities spanning data engineering, modeling, visualization, and business analysis Proficiency in dashboard building tools, especially Streamlit Experience with machine learning and generative AI deployment (bonus, not primary focus) - ideally you have LLMs in production Excellent communication skills with ability to translate complex analysis into actionable business recommendations Mission-driven mindset with passion for driving real business outcomes Proven track record of working autonomously across multiple business functions Comfortable with/experienced in working in a fast-paced startup This 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. Compensation The base pay range for this role is CA$150,000 – CA$200,000 per year + equity #J-18808-Ljbffr