Overview Remarcable is purpose-built for trade contractors, helping them manage procurement, tools, and warehouse operations with unmatched visibility and control. As we scale across North America, data is at the core of how we deliver on that promise.What You’ll Do Partner with Data Engineering to design the lakehouse’s semantic and analytical layers (on top of AWS S3, Redshift, Athena, Glue)Translate ambiguous business questions into clear analyses, and communicate findings to technical and non-technical stakeholderAnalyze product, operations, and customer usage data to identify trends, anomalies, and opportunities that inform product and business decisionsBuild models and heuristics that power Remarcable Intelligence (e.G. smart search, recommendation engine, forecasting)Build out AI/ML data infrastructure - feature engineering, training datasets, and model evaluation - supporting Sage Maker and Bedrock workflowsDevelop and maintain core analytics supporting company metrics (ARR, churn, NRR, product usage, ROI)Create customer-facing and internal reporting for customers and internal teamsDesign and validate product experiments (A/B tests and other measurement methodologies)



to drive data-informed decisions that improve user experience and business outcomesWho You Are 3+ years of experience in a Data Scientist, Analytics, or similar roleSomeone who thrives in a startup - adaptable, resourceful, and motivated by impact.Strong SQL skills: complex queries, window functions, performance tuningProficiency in Python (pandas, Num Py)Experience building dashboards/reporting (e.G., Quick Sight, 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 (e.G. recommendation, trend analysis, scoring).Bonus: experience with AWS data/ML stack (Redshift, Athena, Sage Maker, Bedrock), and/or building recommendation or "next best action" style featuresWhy Join Us High Impact: Join a builder-led team where your work directly shapes the core product used by thousands.Culture: Hybrid work workplace in our Vancouver office.Retirement: RRSP Matching Program (50% match on the first 6% of your contribution).Care: Health Spending

📌 Data Scientist (Vancouver)
🏢 Remarcable
📍 Vancouver