Senior ML-Engineer, Finance

Added
less than a minute ago
Type
Full time
Salary
Salary not provided

Related skills

nlp docker mongodb python web scraping

πŸ“‹ Description

  • Build market intelligence DB from data collection, scraping, and enrichment.
  • Design scrapers to extract signals (products, payments) from nonprofit sites.
  • Develop filters including a "Is this website for fundraising?" classifier.
  • Source and integrate financial data from registries and third-party signals.
  • Store and structure the enriched data in internal DB for research.
  • Deploy scoring model and integrate outputs into Salesforce.

🎯 Requirements

  • 5+ years ML/DS experience solving real product problems.
  • Strong ML and statistics knowledge: gradient boosting; NLP.
  • Proven experience with large-scale web scraping and data pipelines.
  • Metrics-driven: link ML metrics to business metrics.
  • Strong Python engineering; product-oriented coding; design patterns.
  • Advanced SQL; build datasets in ClickHouse and MongoDB.

🎁 Benefits

  • 31 days off
  • 100% paid telemedicine plan
  • Home Office Setup: furniture and equipment assistance
  • English learning courses
  • Relevant professional education
  • Remote working
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