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Founding Senior Data Scientist, Domains Search & Recommendations

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About the position

Responsibilities

  • 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.

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).

Nice-to-haves

  • Experience in domain search, information retrieval, or e-commerce search.

Benefits

  • 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
  • 20 weeks for parental leave and up to 12 weeks to care for an ill family member
  • 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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