Staff Data Scientist
New
J
JobgetherData Science
Remote-first work environment across Canada.Full-TimeStaff
Salary140,000 - 160,000 CAD per year
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Job Details
- Experience
- 7+ years
- Required Skills
- SQLGitSnowflakeData modelingA/B testingdbt
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.
Responsibilities
- 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.
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