Data Scientist

The role

You will partner with Data Engineering to design and build a data lakehouse. You will build models, reporting, and insights to drive product intelligence and business decisions.

What you will do

• Partner with Data Engineering to design the lakehouse's semantic and analytical layers
• Translate ambiguous business questions into clear analyses and communicate findings
• Analyze product, operations, and customer usage data to identify trends and opportunities
• Build models and heuristics that power Remarcable Intelligence
• Build out AI/ML data infrastructure supporting SageMaker and Bedrock workflows
• Develop and maintain core analytics supporting company metrics
• Create customer-facing and internal reporting
• Design and validate product experiments

Required qualifications

• 5+ years of experience in a Data Scientist, Analytics, or similar role
• 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 in a production setting

Nice to have

• experience with AWS data/ML stack (Redshift, Athena, SageMaker, Bedrock)
• building recommendation or "next best action" style features

Benefits

• RRSP Matching Program (50% match on the first 6% of your contribution)
• Health Spending Account (HSA) administered via RBC
• Wellness Spending Account (WSA) administered via RBC
• Competitive PTO

About the company

Remarcable is a cloud based platform that helps electrical contractors and distributors streamline purchasing processes. The company provides cloud-based Procurement & Tool Management Software nationwide.