Founding Senior Data Scientist, Domains Search & Recommendations at Squarespace

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

30 Dec, 25

Salary

247250.0

Posted On

01 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Search Systems, Recommendation Systems, Natural Language Processing, Machine Learning, Python, SQL, Data Analysis, Experimentation, Personalization, Mentoring, Exploratory Data Analysis, Model Development, Ranking Models, Generative AI, Large Scale Experimentation

Industry

Software Development

Description

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. You'll Get To... 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 — one of the most critical steps in building their online presence. This is a chance to work at the intersection of data science, ML, and product innovation, on a team with a goal of inventing new approaches to domain discovery. Benefits & Perks 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 for this position will vary based on job-related criteria including relevant skills, experience, and location, among other factors. In addition to the cash compensation above (which includes base salary and, where applicable for eligible roles, may include on-target commissions or overtime pay), Squarespace employees are eligible to be granted an option to purchase our common stock. 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 and territories with all the tools they need to create an online presence, build an audience, monetize, and scale their business. Our suite of products range from websites, domains, ecommerce, and marketing tools, as well as tools for scheduling with Acuity and creating and managing social media presence with Bio Sites and Unfold. Our team of more than 1,500 is headquartered in bustling New York City, with offices in Dublin, Ireland, Aveiro, Portugal, and coworking spaces in the UK, Netherlands, and Australia. For more information about our company culture, visit https://www.squarespace.com/about/careers. Our Commitment Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customers, but we also work toward the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace. #LI-Hybrid Thank you in advance for providing the following details about your work history from your resume! This helps us ensure that your candidate information is accurate and consistent during the hiring process. Squarespace will never solicit your personal banking information or ask you to transfer money in connection with a job offer or interview. We also will not reach out to you via phone or SMS without your permission or knowledge.

Responsibilities

Design and evaluate algorithms for search, ranking, recommendation, and personalization of domain search results. Conduct rigorous experimentation and build metrics frameworks to measure search quality, engagement, and growth.