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Senior Data Scientist – Match Quality and Feedback Loops
Not specifiedFull-timeData ScienceOnline Dating
Own the data science and machine learning systems that improve matchmaking, recommendations, personalization, and long-term user satisfaction on a consumer dating platform.
Responsibilities
- Design, train, and deploy production machine learning models for recommendations, candidate ranking, personalization, and matchmaking.
- Build and improve implicit and explicit feedback mechanisms using engagement, messaging, churn, and retention signals.
- Define online and offline evaluation frameworks covering ecosystem health, fairness, engagement, and long-term outcomes.
- Address cold-start challenges and optimize marketplace liquidity across geographic and demographic cohorts.
- Translate behavioral insights into product improvements in collaboration with product managers, data engineers, and machine learning teams.
Requirements
- At least 4 years of hands-on data science experience building recommendation systems, ranking models, or matchmaking algorithms in consumer technology environments.
- Strong theoretical and practical knowledge of collaborative filtering, graph neural networks, reinforcement learning, or embedding-based retrieval.
- Proficiency in Python, SQL, and modern machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Experience deploying and monitoring machine learning models in production.
- Demonstrated experience designing A/B tests, measuring causal impact, and addressing feedback-loop bias in complex two-sided systems.
- Fluent written and spoken English and Hebrew.