TL;DR

Senior Data Scientist (AI, Search & Recommendations): Building and optimizing intelligent search and recommendation platforms for domain discovery, leveraging natural language processing, ranking models, and personalization. Focus on designing and evaluating algorithms for search, ranking, recommendation, and personalization, leveraging LLMs for query understanding and generation, and driving personalization strategies through user behavior and data.

Location: Hybrid, New York City, 3 days per week in office

Salary: $153,500 – $247,250 USD

Company

%hirify_global% is a design-driven platform empowering entrepreneurs to build brands and businesses online through websites, domains, ecommerce, and marketing tools.

What you will do

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.
Drive personalization strategies by incorporating user behavior, account history, and demographic data.

Requirements

5+ years of professional experience as a Data Scientist, with at least 2 in search, ranking, or recommender systems.
Strong 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 have

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

Culture & Benefits

A choice between medical plans with an option for 100% covered premiums, fertility and adoption benefits.
Flexible paid time off and 12 weeks paid parental leave and family care leave.
Retirement benefits with employer match and education reimbursement.
Employee donation match to community organizations and Global Employee Resource Groups (ERGs).
Dog-friendly workplace with free lunch, snacks, and a private rooftop.
Hack week twice per year.