Senior ML-Engineer, Finance

📋 Description

• Build a market intelligence database from data collection and enrichment.
• Design and operate scrapers to extract signals from nonprofit sites.
• Develop filters including an 'Is this website fundraising?' classifier.
• Source and integrate financial data from registries and SimilarWeb/Facebook.
• Store and structure the enriched dataset in the internal database for the team.
• Collaborate with sales to refine scoring using Salesforce data.

🎯 Requirements

• 5+ years ML/DS experience solving real product problems.
• ML and statistics expertise; gradient boosting; NLP basics.
• Experience with large-scale web scraping and data pipelines.
• Metrics-driven; tie ML metrics (ROC-AUC, F1, RMSE) to business metrics.
• Strong Python engineering with a product-focused approach.
• Advanced SQL; build datasets in ClickHouse and work with MongoDB.

🎁 Benefits

• 31 days off
• 100% paid telemedicine plan
• Home Office Setup Assistance
• English learning courses
• Relevant professional education
• Gym or swimming pool