Data Scientist

📋 Description We are adding intelligent recommendations to the platform: surfacing relevant connections You will be the first data scientist building this, from the ground up, on data most companies 🎯 Requirements Solid, hands-on experience building recommendation or personalization systems in production. Strong grasp of classical recommendation methods: collaborative filtering, clustering, nearest Recommendation foundations: embeddings and similarity or vector search, ranking, feature Strong Python (pandas, numpy, scikit-learn) and strong SQL. Experimentation literacy: you design and read A/B tests and know the difference between offline and Product and business judgment, plus pragmatism: you can make recommendations feel subtle and 🎁 Benefits Not specified in the listing.