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Data Science Manager, Point of Sale Add-ons

Company: Square
Location: San Francisco
Posted on: June 12, 2021

Job Description:

Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We're working to find new and better ways to help businesses succeed on their own terms-and we're looking for people like you to help shape tomorrow at Square.

We are looking for a Data Science Manager to join our team and help continue to build our add-on products (Team Management, Marketing, Loyalty and Gift Cards). You will report to the Head of Data Science & Analytics and partner with product, marketing, design, and engineering leads on product and business strategies. You and your team will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bring our products to market. Although this is a leadership role, we want someone who brings hands-on technical experience - you should expect an interview process which optimizes for both leadership and technical skills.

You will:

  • Lead a team of Data Scientists and help them set goals, collaborate, and scale with their partners
  • Provide mentorship to team members through feedback, coaching, and hands-on technical guidance, focusing on their long-term growth
  • Partner with senior leaders including Product, Product Marketing, Engineering, and Design to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact

You have:

  • 2+ years of experience in people management with experience building teams and growing talent
  • 6+ years of data science and analytics experience or equivalent
  • Experience building relationships to influence product partners with data
  • Experience leading projects that depend on the contributions of others in multiple disciplines
  • Familiarity with data warehouse design and best practices
  • Fluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python) that will allow you to support and mentor the team and their technical growth
  • Experience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypes

Nice to have:

  • M.S. or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)
  • Experience working on business and product initiatives focused on growth and retention

At Square, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)squareup.com. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible.

Perks

At Square, 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

Keywords: Square, San Francisco , Data Science Manager, Point of Sale Add-ons, Other , San Francisco, California

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