Data Scientist
Core
Design and build a data lakehouse to power in-platform reporting, product intelligence, and decision-making for trade contractors.
Role type
Senior IC Data Scientist (Data Infrastructure & ML)
Builds
Data lakehouse architecture, ML models (recommendation, forecasting), and analytics dashboards
Domain
Construction industry / Procurement & Tool Management Software
Deliverable
production ML models | dashboards & analysis
Required skills
SQL (complex queries, window functions), Python (pandas, NumPy), data transformation (dbt), ML model building and deployment, A/B testing design
Preferred skills
AWS data/ML stack (Redshift, Athena, SageMaker, Bedrock), building recommendation or next-best-action features
Technologies
AWS S3, Redshift, Athena, Glue, SageMaker, Bedrock, QuickSight, Looker, Tableau, Power BI
Responsibilities
Partner with Data Engineering to design semantic and analytical layers; Translate business questions into clear analyses; Analyze product, operations, and customer usage data; Build models and heuristics for Remarcable Intelligence; Build AI/ML data infrastructure including feature engineering and model evaluation; Develop core analytics supporting company metrics; Create customer-facing and internal reporting; Design and validate product experiments
Seniority
Mid-Senior, hands-on IC
