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.

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