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Data Science Manager, Appointments & Conversations

Square

Data Science Manager, Appointments & Conversations

San Francisco, CA
Full Time
Paid
  • Responsibilities

    Job Description

    Square is built by an incredible team that is on a mission to make commerce easy for all types of businesses. As a DS lead for Square Appointments and Square Conversations, you will have an opportunity to drive impact for the millions of small businesses utilizing our platform to start, run and grow their business. Square Appointments helps businesses in the services industry succeed by building everything they need to run their business: scheduling and online booking, a point of sale that tracks customer details, and a secure, fast payments system. The Conversations team builds Square Messages, a messaging platform for merchants to manage conversations with their customers, Messages is also home to Square Assistant -- a virtual assistant to help merchants serve their customers 24/7.

    In this role, you will lead a team that leverages a unique set of skills, including, data engineering, analytics, data science, and machine learning to help us grow our products and kick off green field initiatives.

    YOU WILL:

    • Lead a team, hiring new data scientists, setting goals, collaborating, and working with our partners.

    • Have an impact on business and product strategy by leading the DS discipline across three scaling products.

    • Provide mentorship to team members through feedback, coaching, and hands-on technical guidance.

    • Create data products that bring intelligence into our products.

    • Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior.

    • Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives.

  • Qualifications

    Qualifications

    YOU HAVE:

    • ​​​2+ years of experience in people management with experience building teams and growing talent

    • 7+ years of data science experience or equivalent

    • Experience applying statistical and machine-learning techniques to building data products, solving practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypes.

    • Experience working on product initiatives focused on growth, new markets and/or marketplaces

    • B.S+ in a quantitative field (mathematics, statistics, or similar STEM field). M.S preferable.

    Additional Information

    We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Square is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 

    We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. _WANT TO LEARN MORE ABOUT WHAT WE’RE DOING TO BUILD A WORKPLACE THAT IS FAIR AND SQUARE? CHECK OUT OUR I+D PAGE. _

    Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

    PERKS

    We want you to be well and thrive. Our global benefits package includes:

    • Healthcare coverage
    • Retirement Plans
    • Employee Stock Purchase Program
    • Wellness perks
    • Paid parental leave
    • Paid time off
    • Learning and Development resources

    Square, Inc. (NYSE: SQ) builds tools to empower businesses and individuals to participate in the economy. Sellers use Square to reach buyers online and in person, manage their business, and access financing. Individuals use Cash App to spend, send, store, and invest money. And TIDAL is a global music and entertainment platform that expands Square's purpose of economic empowerment to artists. Square, Inc. has offices in the United States, Canada, Japan, Australia, Ireland, Spain, Norway, and the UK.

  • Industry
    Financial Services