Squarespace is looking to solve the problem of helping customers discover the perfect domain by combining search, recommendation, and generative AI techniques.
Requirements
- 5+ years of professional experience as a Data Scientist, with at least 2 in search, ranking, or recommender systems.
- Foundation in machine learning and NLP, including practical experience with embeddings, transformers, or LLM applications.
- Proficiency in Python and SQL, with experience using data science and ML libraries (e.g., Pandas, Scikit-learn, PyTorch, TensorFlow).
- Experience with large-scale experimentation frameworks (A/B testing, causal inference, uplift modeling).
- Experience in domain search, information retrieval, or e-commerce search.
- Practical experience with embeddings, transformers, or LLM applications.
- Experience using data science and ML libraries (e.g., Pandas, Scikit-learn, PyTorch, TensorFlow).
Responsibilities
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- Design and evaluate algorithms for search, ranking, recommendation, and personalization of domain search results.
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- Leverage NLP techniques (including LLMs) for query understanding, domain name generation, and contextual suggestions.
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- Conduct rigorous experimentation and build metrics frameworks to measure search quality, engagement, and growth.
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- Prototype and productionize models with MLEs, ensuring scalability, performance, and monitoring.
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- Perform exploratory data analyses to identify opportunities, diagnose issues, and create product insights.
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- Drive personalization strategies by incorporating user behavior, account history, and demographic data.
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- Mentor peers and help build a data science culture within the team.
Other
- A choice between medical plans with an option for 100% covered premiums
- Fertility and adoption benefits
- Access to supplemental insurance plans for additional coverage
- Flexible paid time off
- 12 weeks paid parental leave and family care leave
