Staff Data Scientist

As a Staff Data Scientist at an early-stage, high-growth company, you'll play a critical role in turning raw data into insights and apps that shape strategy, fuel growth, and improve the customer experience. You'll have a direct hand in the decisions that move the business, not just the reports that describe it.

This isn't a "run the numbers and hand off a deck" role. You'll be partnering directly with senior leaders and an experienced data & analytics team to drive data science and experimentation initiatives across sales, marketing, and product areas — putting both traditional analysis and ML to effect change.

What You'll Get to Do:

• Architect optimization analyses and forecasts that help leaders pinpoint opportunities across Growth, Strategy, Revenue, Marketing, and Product teams.
• Partner directly with executive leadership, translating complex analysis into clear, actionable decisions and process changes.
• Design counterfactual analyses and A/B tests to enable data-driven evolution of our UX, product features and customer experience.
• Build data apps that automate and supercharge our sales and marketing processes.
• Own your projects end-to-end — from framing the business question to shipping the model to presenting the recommendation, with the autonomy to decide how you get there.
• Work on top the same semantic layer and DBT models powering our AI-driven analytics stack (Snowflake Cortex, Sigma, Claude, etc.), so your analyses build on a single-source-of-truth data.
• Create data science frameworks — templates and guides that data practitioners across the org can leverage and build upon.

What You'll Bring to the Role:

• 7+ years of experience in data science in a fast-moving business setting, with a track record of running the show on ambiguous, high-stakes problems.
• Hands-on experience with a modern cloud data stack — Snowflake, DBT, and various BI tools (Sigma, Looker, Metabase, Omni, or similar).
• Strong SQL and statistical modeling skills, with a track record of building forecasting and causal inference models.
• A love of documentation and Git — you enable others to build on top of your work..
• You appreciate scalable data models — you contribute to the shared semantic layer, and let the whole org benefit.
• You're just as excited to hack together a scrappy new analysis or app as you are to build scalable products that meet stringent quality standards.

Who You Are:

• Self-driven and organized, with the ability to manage projects across cross-functional stakeholder groups with minimal oversight, keeping everyone updated on progress and next steps.
• You don't wait for direction — you spot the opportunity, make the case, and drive it through.
• An amazing communicator and presenter, equally comfortable in a room with executive leadership or heads-down in the data.
• A true team player — you love brainstorming, peer reviews, and pressure-testing ideas.
• You're in it for the journey, not just the destination.

**Compensation Band:* $140,000.00 - $160,000.00 CAD*