Data Scientist at Remarcable, Inc.

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

Benefits offered by this job

RRSP Matching (50% up to 6%)

Health Spending Account (HSA)

Wellness Spending Account (WSA)

Competitive PTO

Job summary

Remarcable, Inc. in Vancouver, BC, is seeking a Data Scientist to partner with Data Engineering to build a lakehouse and deliver on-platform analytics and reporting.

You will drive product intelligence, surface trends, and actionable insights while wearing multiple hats as analyst, scientist, and developer. The role focuses on deriving insights from product, operations, and customer data, building forecasting and recommendation models, and developing reporting for internal teams and customers.

Qualifications

• 3+ years of experience in Data Scientist, Analytics, or similar role.
• Ability to thrive in a startup environment with adaptability and impact.
• Strong SQL skills: complex queries, window functions, performance tuning.
• Proficiency in Python (pandas, NumPy).
• Experience building dashboards/reporting (Power BI/Tableau/Looker/QuickSight).
• Experience with modern data transformation tools (dbt).
• Experience building, validating, and deploying ML models to solve business problems (e.g., recommendation, trend analysis).

Responsibilities

• Partner with Data Engineering to design the lakehouse's semantic and analytical layers.
• Translate business questions into clear analyses and communicate findings to stakeholders.
• Analyze product, operations, and customer data to identify trends and opportunities.
• Build models and heuristics powering Remarcable Intelligence (e.g. recommendation engine).
• Develop AI/ML data infrastructure supporting SageMaker and Bedrock workflows.
• Create analytics for company metrics (ARR, churn, NRR, product usage, ROI).
• Design and validate product experiments (A/B tests) to improve UX and outcomes.

Skills

3+ years data science

SQL proficiency

Python proficiency

data storytelling

Education

Bachelor's degree in a relevant field

Tools

AWS data stack

Redshift/Athena/Glue

SageMaker/Bedrock

dbt

Power BI/Tableau/Looker/QuickSight

Python data libraries (pandas, NumPy)

Job description

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 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 (1 WFH day).
• 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 Range: CA$150K - CA$180K