Staff Data Scientist

Accountabilities:

• • Architect optimization analyses and forecasting models to identify opportunities across Growth, Strategy, Revenue, Marketing, and Product teams.
  • Partner directly with senior and executive leadership, translating complex analytical findings into clear recommendations, decisions, and process improvements.
  • Design counterfactual analyses and A/B tests to support data-driven improvements to user experiences, product features, and customer journeys.
  • Build data applications that automate and enhance sales and marketing processes.
  • Own projects end to end, from defining the business question and selecting the analytical approach through model development, delivery, and presentation of recommendations.
  • Work with shared semantic layers and dbt models that power the broader analytics environment, ensuring analyses are built on reliable, consistent data.
  • Contribute to data science frameworks, templates, documentation, and guides that can be reused by data practitioners across the organization.
  • Collaborate with cross-functional stakeholders to identify opportunities, challenge assumptions, and pressure-test analytical approaches.
  • Communicate findings and recommendations effectively to both technical teams and executive audiences.

  Requirements:

  • 7+ years of experience in data science, analytics, or a related field within a fast-moving business environment.
  • Demonstrated ability to independently lead ambiguous, complex, and high-impact analytical problems from definition through execution.
  • Hands-on experience with modern cloud data stacks, including Snowflake, dbt, and BI platforms such as Sigma, Looker, Metabase, Omni, or similar tools.
  • Strong SQL and statistical modeling capabilities, including practical experience developing forecasting and causal inference models.
  • Experience designing and analyzing experiments, including A/B testing and counterfactual approaches.
  • Strong understanding of scalable data modeling and experience contributing to shared semantic layers or centralized data foundations.
  • Excellent documentation and version-control practices, including experience working with Git.
  • Ability to balance rapid, exploratory analysis and prototyping with the development of scalable, reliable data products.
  • Strong project management and organizational skills, with the ability to coordinate work across multiple stakeholder groups with minimal oversight.
  • Self-driven approach, with the ability to identify opportunities, build a business case, and drive initiatives through completion.
  • Excellent communication and presentation skills, with confidence working with executive leadership as well as technical and analytical teams.
  • Collaborative mindset and enthusiasm for brainstorming, peer reviews, knowledge sharing, and constructive challenge.

  Benefits:

  • CAD $140,000–$160,000 annual compensation band, with offers tailored to experience, seniority, and demonstrated impact.
  • Remote-first work environment across Canada.
  • 100% employer-paid premiums for Extended Healthcare and Dental in Canada.
  • Flexible time off.
  • Mandatory paid time off during the first week of employment to support a strong start and recharge.
  • One Friday off per month.
  • Company-wide paid shutdown during the week between Christmas and New Year’s.
  • RRSP matching.
  • Generous parental leave policy.
  • Annual company retreat and team-building activities.
  • Learning and development opportunities to support continued career growth.
  • Home office setup stipend.
  • Internet and phone allowance.
  • Weekly Friday paydays.