Senior Data Scientist - Product at Squarespace

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

207000.0

Posted On

04 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, SQL, Statistical Models, Model Deployment, Feature Engineering, Data Solutions, Collaboration, Prototyping, Model Validation, Research, Communication, Product Management, Personalization, Recommendations

Industry

Software Development

Description

The Data Science & Machine Learning team is looking for a Senior Data Scientist. We are a group of data scientists and machine learning engineers who solve challenges with durable data solutions. We develop and integrate data science models into company practices and the product to unlock value for Squarespace and its customers. You will be on the Product Data Science & Machine Learning team. Our team builds machine learning models that achieve business growth by enhancing the product experience. You will focus on creating growth and activation by building models that create personalized user experiences, drive intelligent product recommendations, and enhance the performance of data-driven product features. This is a hybrid role working from our NYC office 3 days per week. You will report to the Manager of Product Data Science & Machine Learning. You'll Get To… Collaborate with Data Scientists, Analysts, Product Managers and Engineers to identify opportunities and create data science solutions Prototype different approaches to identify the best data solutions for business problems Design, deploy, and maintain statistical and machine-learning models in business- and customer-facing applications; for example, personalized onboarding, dynamic cross-sell targeting, and customer-intent predictions Validate and improve model performance through iterative testing, tuning, and feature engineering Research advancements in data science and machine learning to evaluate new techniques and technologies for potential application Who We're Looking For 4+ years of experience working in a Data Science or similar role; experience working directly with PMs in a Product Data Science role is a plus Experience building and deploying ML models in a production environment, particularly for personalization, recommendations, and predictive use cases Competency with Python and SQL Strong experience communicating data science solutions to both technical and non-technical audiences 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: $128,500 - $207,000 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

You will collaborate with various teams to identify opportunities and create data science solutions. Your focus will be on building models that enhance user experiences and drive product growth.