Data Scientist

Remarcable

. Partner with Data Engineering to design the lakehouse’s semantic and analytical layers on AWS S3, Redshift, Athena, and Glue .

Posted 9/15/2026full-timeVancouver • CanadaMid-LevelSenior💰 CA$150,000 - CA$180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, model building, and reporting, with a strong focus on SQL, Python, and AI/ML infrastructure. Capable of translating complex business questions into actionable insights and delivering impactful analytics to stakeholders.

Highest-signal resume keywords

Strong SQL SkillsProficiency In PythonExperience With Data Transformation ToolsBuilding And Deploying ML ModelsDashboard/Reporting Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLPythonMachine LearningData AnalysisFeature EngineeringModel EvaluationA/B TestingData ArchitectureAnalytics DevelopmentHeuristic Models

Soft Skills

AdaptabilityResourcefulnessMotivation By Impact

Tools & Technologies

AWS S3RedshiftAthenaGlueSageMakerBedrockQuickSightLookerTableauPower BI

Industry Keywords

Data ScientistAnalyticsStartup EnvironmentBusiness InsightsCustomer Reporting

Tech Stack

Tools & technologies

Amazon RedshiftAWSNumpyPandasPythonSQLTableau

About the role

Key responsibilities & impact

Partner with Data Engineering to design the lakehouse’s semantic and analytical layers on AWS S3, Redshift, Athena, and Glue
Translate ambiguous business questions into clear analyses and communicate findings to technical and non-technical stakeholders
Analyze product, operations, and customer usage data to identify trends, anomalies, and opportunities
Build models and heuristics powering Remarcable Intelligence, including smart search, recommendation engines, and forecasting
Build AI/ML data infrastructure, including feature engineering, training datasets, and model evaluation, supporting SageMaker and Bedrock workflows
Develop and maintain analytics for company metrics such as ARR, churn, NRR, product usage, and ROI
Create customer-facing and internal reporting
Design and validate product experiments, including A/B tests and other measurement methodologies
Shape data architecture and deliver reporting, models, and insights that drive decisions

Requirements

What you’ll need

3+ years of experience in a Data Scientist, Analytics, or similar role
Strong SQL skills: complex queries, window functions, performance tuning
Proficiency in Python (pandas, NumPy)
Experience building dashboards/reporting (e.g., QuickSight, Looker, Tableau, Power BI, or custom-built reporting)
Experience with modern data transformation tools (e.g., dbt)
Experience building, validating, and deploying practical ML and heuristic models to solve business problems
Startup adaptability, resourcefulness, and motivation by impact
Willingness and ability to commute to the Downtown Vancouver office
Legally authorized to work in Canada

Benefits

Comp & perks

Bonus
RRSP Matching Program (50% match on the first 6% of your contribution)
Health Spending Account (HSA)
Wellness Spending Account (WSA) administered via RBC
Competitive PTO
Hybrid work environment in the Vancouver office