Data Scientist

Remarcable, Inc.
Vancouver +1 more
HybridCareer-pivot friendly

Who this role is best for

Strong fit for data professionals who build and adapt data infrastructure in the construction industry, with a focus on hybrid work and cross-functional collaboration.

Best fit for

  • Candidates with experience in startup environments and a background in construction or trade contractor data
    — “someone who's comfortable wearing multiple hats (analyst, scientist, developer)”
  • Individuals who can translate business needs into technical data solutions and communicate effectively across teams
    — “Translate ambiguous business questions into clear analyses, and communicate findings to technical and non-technical stakeholders”
  • Professionals with a track record of deploying ML models to solve real-world business problems
    — “Experience building, validating, and deploying practical ML and heuristic models to solve business problems”

Things to consider

  • This role requires a hybrid work arrangement with at least one in-office day per week
    — “Hybrid work environment in our Vancouver office (1 WFH day)”
  • Candidates must be prepared to work with AWS data/ML stack tools like SageMaker and Bedrock
    — “Build out AI/ML data infrastructure - feature engineering, training datasets, and model evaluation - supporting SageMaker and Bedrock workflows”

How to stand out

  • Highlight experience in building data lakes and semantic layers on AWS platforms
    — “design and build out our data lakehouse, bringing data from across the business into one place”
  • Demonstrate ability to design and execute A/B tests and other experiments to validate product decisions
    — “Design and validate product experiments (A/B tests and other measurement methodologies)”
  • Showcase skills in creating dashboards and reports using tools like QuickSight or Tableau
    — “Experience building dashboards/reporting (e.g., QuickSight, Looker, Tableau, Power BI, or custom-built reporting)”
  • Emphasize hands-on experience with dbt for data transformation and modeling
    — “Experience with modern data transformation tools (e.g., dbt)”
  • Demonstrate a history of using Python for data manipulation and analysis with pandas and NumPy
    — “Proficiency in Python (pandas, NumPy)”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Design and build out the data lakehouse
  • Analyze product, operations, and customer usage data
  • Build models and heuristics that power Remarcable Intelligence
Typical background
3+ years of experience in a Data Scientist, Analytics, or similar role

Skills & requirements

Required

Data Lakehouse DesignSQLPythonData ModelingMachine Learning

Preferred

AWS Data/ml StackRecommendation EngineForecasting

Stack & domain

PythonPandasNumPySQLAWS S3RedshiftAthenaGlueQuicksightLookerTableauPower BIdbtSagemakerBedrock

About the role

Original posting from Remarcable, Inc. via Ashby

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.

#ZR

Please be aware of potential phishing scams. Remarcable will never advance job applicants money or ask them to send money (via Venmo, Zelle, Paypal etc.) to preferred vendors. If you are concerned about the application process, please contact Remarcable directly at (216)770-3322.

Remarcable is not associated with info-remarcable.com http://info-remarcable.com. For information about applying for a position with Remarcable, please reference remarcable.com http://remarcable.com.

Source: Remarcable, Inc. careers (Ashby)

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