Founding Senior Data Scientist, Domains Search & Recommendations

Squarespace-posted 4 days ago
Full-time • Mid Level
Hybrid • New York City, NY
1,001-5,000 employees
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The Domains Search team at Squarespace helps customers discover the perfect domain by combining search, recommendation, and generative AI techniques. We are building an intelligent platform that uses natural language processing, ranking models, and personalization to make domain discovery intuitive and inspiring. We're looking for a Senior Data Scientist with expertise in Search/Recommendation systems and NLP to help guide model development, experimentation, and data insights that power this experience. This is a hybrid role working from our New York City office 3 days per week. You will report to the Senior Engineering Manager of Domains in NYC.

  • Design and evaluate algorithms for search, ranking, recommendation, and personalization of domain search results.
  • Leverage NLP techniques (including LLMs) for query understanding, domain name generation, and contextual suggestions.
  • Partner with engineers and product managers to translate ambiguous product needs into data-driven solutions.
  • Conduct rigorous experimentation and build metrics frameworks to measure search quality, engagement, and growth.
  • Prototype and productionize models with MLEs, ensuring scalability, performance, and monitoring.
  • Perform exploratory data analyses to identify opportunities, diagnose issues, and create product insights.
  • Drive personalization strategies by incorporating user behavior, account history, and demographic data.
  • Mentor peers and help build a data science culture within the team.
  • 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).
  • (Bonus) Experience in domain search, information retrieval, or e-commerce search.
  • A choice between medical plans with an option for 100% covered premiums
  • Fertility and adoption benefits
  • Access to supplemental insurance plans for additional coverage
  • Headspace mindfulness app subscription
  • Global Employee Assistance Program
  • Retirement benefits with employer match
  • Flexible paid time off
  • 12 weeks paid parental leave and family care leave
  • Pretax commuter benefit
  • Education reimbursement
  • Employee donation match to community organizations
  • 8 Global Employee Resource Groups (ERGs)
  • Dog-friendly workplace
  • Free lunch and snacks
  • Private rooftop
  • Hack week twice per year
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