Apply for Data Scientist at Remarcable, Inc. in Vancouver, BC, CA. This Full time on site position offers great opportunities for career growth.
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.
As our Data Scientist, you'll partner closely with Data Engineering to design and build out our data lakehouse, bringing data from across the business into one place to power in‑platform and internal reporting, sharpen Remarcable's product intelligence, and surface the trends and next‑step recommendations that help contractors and our own teams make better decisions. This is a high‑ownership role for someone who's comfortable wearing multiple hats (analyst, scientist, developer) to shape data architecture and build out reporting, models, and insights that drive action and decision‑making.
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 stakeholder
Analyze product, operations, and customer usage data to identify trends, anomalies, and opportunities that inform product and business decisions
Build 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 workflows
Develop and maintain core analytics supporting company metrics (ARR, churn, NRR, product usage, ROI)
Create customer‑facing and internal reporting for customers and internal teams
Design and validate product experiments (A/B tests and other measurement methodologies) to drive data‑informed decisions that improve user experience and business outcomes
Who You Are 3+ years of experience in a Data Scientist, Analytics, or similar role
Someone who thrives in a startup - adaptable, resourceful, and motivated by impact.
Robust SQL skills: complex queries, window functions, performance tuning
Proficiency 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 features
Why join us? High Impact: Join a builder‑led team where your work directly shapes the core product used by thousands.
Culture: Hybrid work environment in our Vancouver office (1 WFH day).
Retirement: RRSP Matching Program (50% match on the first 6% of your contribution).
Care: Health Spending

📌 Data scientist at remarcable, inc. (Vancouver)
🏢 Remarcable
📍 Vancouver