Skills

Communication Data Engineering Machine Learning Organization Analytics

Job Specifications

Full Stack 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

About the Company

Syndesus builds engineering teams in Canada for VC-backed startups in the US, and offers Professional Employer Organization (PEO) services for US companies seeking to employ workers remotely in Canada. Additionally, Syndesus can assist foreign-born tech workers (and their U.S. employers) with options for working remotely in Canada if they cannot stay in the U.S. due to immigration/work visa issues. Learn more at syndesus.com Know more