Data Scientist

Remarcable; Vancouver; Hybrid; CAD 150,000 - 180,000; Full time

Benefits offered by this job

RRSP matching (50% on first 6%)

Health Spending Account (HSA)

Wellness Spending Account (WSA)

Competitive PTO

Job summary

Remarcable in Vancouver is seeking a data scientist/analyst to help scale our analytics platform. You will translate business questions into analyses and partner with Data Engineering to design the lakehouse's semantic and analytical layers on AWS (S3, Redshift, Athena, Glue).

You’ll build models and heuristics for product, operations, and customers, create dashboards, and contribute to experimentation. Proficiency in SQL and Python, plus experience with reporting tools and dbt, are essential.

Qualifications

• 3+ years of experience in a Data Scientist/Analytics role.
• Strong SQL skills.
• Proficiency in Python (pandas, NumPy).
• Experience building dashboards/reporting (QuickSight/Looker/Tableau/Power BI).
• Experience building, validating, and deploying ML/heuristic models.

Responsibilities

• Partner with Data Engineering to design lakehouse semantic and analytical layers on AWS.
• Translate business questions into analyses and communicate findings to stakeholders.
• Analyze product, operations, and customer usage data to identify trends and opportunities.
• Build models and heuristics powering Remarcable Intelligence (e.g. forecasting, recommender systems).
• Develop and maintain analytics supporting company metrics (ARR, churn, NRR, ROI).
• Create customer-facing and internal reporting for customers and teams.
• Design and validate product experiments (A/B tests) to improve user experience.

Skills

3+ years of experience in Data Science

Strong SQL skills

Python (pandas, NumPy)

Dashboards/reporting

ML/heuristic modeling

Tools

QuickSight

Looker

Tableau

Power BI

dbt

AWS Redshift

SageMaker

Bedrock

Job description

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 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 SageMaker 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.
• 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 (e.g. recommendation, trend analysis, scoring).
• Bonus: experience with AWS data/ML stack (Redshift, Athena, SageMaker, 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.
• Retirement: RRSP Matching Program (50% match on the first 6% of your contribution).
• Care: Health Spending Account (HSA) and Wellness Spending Account (WSA) administered via RBC.
• Competitive PTO

Who We Are

Remarcable is a cloud based platform that helps electrical contractors and distributors streamline purchasing processes to save time and money. Dedicated to the Electrical Contractor Industry, Remarcable provides cloud-based Procurement & Tool Management Software nationwide. With multiple workflows, two applications in one software, and direct contractor accounting integrations, Remarcable significantly, and efficiently, increases communication, streamlines workflows, and provides visibility for all users. Our team is composed of contractor and distribution experts located coast to coast. Through collaborations with industry leaders, we've gained insight into the struggles they face. Together, we believe in providing a solution that brings efficiency, visibility, and better communication to streamline the relationship between the contractor and distributor partners.

Our Mission

To advance the adoption of technology in the construction industry and bring better efficiency, visibility, and communication to our customers.

Compensation

Compensation Range: CA$150K - CA$180K