Squarespace
Founding Senior Data Scientist, Domains Search & Recommendations
Squarespace, New York, New York, us, 10261
Overview
Founding Senior Data Scientist, Domains Search & Recommendations at Squarespace. Hybrid role working from New York City office 3 days per week. Report to the Senior Engineering Manager of Domains in NYC. 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. Who We're Looking For
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. Why Join Us
You'll help shape how millions of customers search for and choose their domain names — a key step in building their online presence. This is a chance to work at the intersection of data science, ML, and product innovation, on a team focused on inventing new approaches to domain discovery. 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 Cash Compensation Range: $153,500 - $247,250 USD. The base salary varies based on skills, experience, and location. Squarespace may grant an option to purchase common stock in addition to cash compensation. About Squarespace
Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of customers in more than 200 countries with tools to create an online presence, build an audience, monetize, and scale. Our products include websites, domains, ecommerce, marketing tools, scheduling with Acuity, and more. Our team is headquartered in New York City, with offices in Dublin, Aveiro, and other locations. For more information, visit https://www.squarespace.com/about/careers. Our Commitment
We are committed to equal employment opportunity regardless of race, color, ethnicity, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other protected status. We are proud to be an equal opportunity workplace.
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Founding Senior Data Scientist, Domains Search & Recommendations at Squarespace. Hybrid role working from New York City office 3 days per week. Report to the Senior Engineering Manager of Domains in NYC. 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. Who We're Looking For
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. Why Join Us
You'll help shape how millions of customers search for and choose their domain names — a key step in building their online presence. This is a chance to work at the intersection of data science, ML, and product innovation, on a team focused on inventing new approaches to domain discovery. 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 Cash Compensation Range: $153,500 - $247,250 USD. The base salary varies based on skills, experience, and location. Squarespace may grant an option to purchase common stock in addition to cash compensation. About Squarespace
Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of customers in more than 200 countries with tools to create an online presence, build an audience, monetize, and scale. Our products include websites, domains, ecommerce, marketing tools, scheduling with Acuity, and more. Our team is headquartered in New York City, with offices in Dublin, Aveiro, and other locations. For more information, visit https://www.squarespace.com/about/careers. Our Commitment
We are committed to equal employment opportunity regardless of race, color, ethnicity, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other protected status. We are proud to be an equal opportunity workplace.
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