Related skills
docker mongodb python fastapi rag📋 Description
- Build a market intelligence data-base via scraping, enrichment, and ML scoring.
- Design scrapers to extract signals from nonprofit sites (products, payments).
- Develop filters like an \"Is this website for fundraising?\" classifier.
- Source financial data from registries and third-party signals.
- Store and structure the enriched data for research and analysis.
- Deploy the scoring model and integrate with Salesforce.
🎯 Requirements
- 5+ years of ML/DS experience solving real product problems
- Strong ML and statistics; gradient boosting; NLP/LLM basics
- Proven experience with large-scale web scraping and data pipelines
- Metrics-driven: tie ML metrics to business metrics
- Strong Python engineering culture; clean code and design patterns
- Advanced SQL; build complex datasets in ClickHouse and work with MongoDB
- MLOps: Docker, Git, CI/CD
- Autonomy: break down ambiguous problems and deliver to production
🎁 Benefits
- Private medical insurance for you and your family
- 23 paid vacation days per year
- 11 paid public holidays per year
- 5 company-paid sick days
- Remote working
- Home Office Setup Assistance
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