At a Glance
- Tasks: Build data pipelines and create impactful dashboards to drive business decisions.
- Company: Exciting, high-growth startup in downtown Toronto with a mission-driven culture.
- Benefits: Competitive salary, equity options, and a hybrid work environment.
- Other info: Fast-paced environment perfect for those who love diverse data challenges.
- Why this job: Join a rocketship early on and see your work directly influence product strategy.
- Qualifications: Strong analytics background and full-stack data capabilities required.
The predicted salary is between 150000 - 200000 $ per year.
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.
Data Scientist in Toronto employer: Syndesus, Inc.
As a Senior AI Solutions Engineer specializing in Google Cloud Platform, you will thrive in a dynamic and innovative work culture that prioritizes collaboration and creativity. Our mostly remote environment offers flexibility while providing ample opportunities for professional growth and development within our cutting-edge AI practice. Join us to make a meaningful impact by architecting scalable AI solutions that address complex business challenges, all while enjoying the unique advantages of working with a passionate team dedicated to excellence.
