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Data Scientist

remarcable-incVancouver, BC (Hybrid)Engineering
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Salary
CA$150K – CA$180K
Job type
Full-time
Work mode
Remote
Experience
Senior · 3+ yrs
Posted
14 Sept 2026
Status
Open · checked 7d ago

About this role

This hybrid Data Scientist role at remarcable-inc in Vancouver, BC suits an adaptable professional with at least three years of analytics experience who wants to drive decision-making in a startup environment. The position involves shaping data architecture, building reporting systems, and developing machine learning models to support trade contractors.

Role Overview

remarcable-inc seeks a Data Scientist for a hybrid position based in Vancouver, BC. The professional in this role will collaborate closely with the Data Engineering team to establish semantic and analytical layers within the data lakehouse. Responsibilities span across data analysis, machine learning model development, and reporting to support both internal operations and customer-facing features.

Key Responsibilities

Collaborate with Data Engineering to design analytical and semantic layers on top of AWS infrastructure such as S3, Redshift, Athena, and Glue.
Convert vague business inquiries into actionable analyses and present findings to diverse stakeholders.
Examine data related to product usage, operations, and customers to pinpoint trends and opportunities for business growth.
Construct heuristics and models for features like smart search, forecasting, and recommendation engines.
Establish AI and machine learning infrastructure including feature engineering, training datasets, and evaluation workflows for SageMaker and Bedrock.
Maintain core analytics tracking company metrics like ARR, churn, NRR, and return on investment.
Develop internal and customer-facing reporting solutions.
Design and validate product experiments and A/B tests to enhance user experience.

Requirements

Minimum of 3 years of professional experience as a Data Scientist or in a similar analytical function.
Adaptable, resourceful, and motivated mindset suited for a startup setting.
Advanced SQL capabilities including window functions, performance tuning, and complex queries.
Proficiency in Python utilizing libraries such as NumPy and pandas.
Background in creating dashboards and reporting tools like Looker, Tableau, Power BI, QuickSight, or custom solutions.
Familiarity with modern data transformation platforms such as dbt.
Practical experience developing, validating, and deploying machine learning and heuristic models.

Nice to Have

Familiarity with the AWS data and machine learning stack including Redshift, Athena, SageMaker, and Bedrock.
Prior involvement in developing recommendation systems or next-best-action features.

Skills and Tools

Python
SQL
pandas
NumPy
dbt
AWS S3
Redshift
Athena
Glue
SageMaker
Bedrock
QuickSight
Looker
Tableau
Power BI

Salary and Benefits

Salary range between CA$150K and CA$180K
Bonus offerings
RRSP Matching Program providing a 50% match on the first 6% of contributions
Health Spending Account and Wellness Spending Account via RBC
Competitive paid time off
Hybrid work schedule in the Vancouver office

About the Company

remarcable-inc provides cloud-based procurement and tool management software designed specifically for electrical contractors and distributors. The platform helps manage warehouse operations, procurement, and tools to increase operational visibility and efficiency. The organization operates with a builder-led team distributed across the country.

How to Apply

Interested candidates should apply directly on the official company careers page.

Skills and tech stack

Questions candidates ask

Where is the Data Scientist position located?

The role is a hybrid position based in Vancouver, BC.

What is the salary range for this role?

The salary ranges from CA$150K to CA$180K, with bonus offers included.

How many years of experience are required?

Candidates must have at least 3 years of experience in a Data Scientist, Analytics, or similar role.

What benefits are provided with this job?

Benefits include an RRSP matching program, a Health Spending Account, a Wellness Spending Account, competitive paid time off, and bonus offers.

What technical skills are necessary for the position?

Requirements include strong SQL skills, proficiency in Python with pandas and NumPy, dashboard building experience, and familiarity with modern data transformation tools like dbt.

Ready to apply?

The application is on the official remarcable-inc careers page.

Apply on company site