Data Scientist

Syndesus, Inc.; Toronto; Hybrid; CAD 150,000 - 200,000; Full time

Job summary

A dynamic tech startup in Toronto is seeking a Full Stack Data Scientist to drive impactful data solutions across product teams. In this hybrid role, you'll build data pipelines, design dashboards, and conduct analyses to inform business decisions. The ideal candidate has a strong product analytics background, experience in data engineering and visualization, particularly with Streamlit, and a passion for driving business outcomes. This position offers a competitive salary and growth potential in a fast-paced environment.

Qualifications

• Strong analytics background supporting product launches.
• Experience in data engineering, modeling, and visualization.
• Comfortable with generative AI deployment (bonus).

Responsibilities

• Build data pipelines from engineering through dashboards.
• Develop and maintain data models using Kimball/Ross.
• Create interactive dashboards and visualizations.
• Conduct analyses to uncover insights and market opportunities.
• Design experiments to optimize product performance.
• Deploy generative AI solutions in production.

Skills

Product analytics background

Full-stack data capabilities

Proficiency in dashboard building tools (Streamlit)

Machine learning experience

Excellent communication skills

Ability to translate analysis into recommendations

Comfortable with fast-paced startup environment

Tools

Streamlit

Job description

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