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
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
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.
