Growth Analytics and Modeling Lead

  • Full-time

Company Description

We believe everyone should be able to participate and thrive in the economy. So we’re building tools that make commerce easier and more accessible to all. We started with a little white credit card reader but haven’t stopped there. Our new reader helps our sellers accept chip cards and NFC payments, and our Cash app lets people pay each other back instantly. We’re empowering the independent electrician to send invoices, setting up the favorite food truck with a delivery option, helping the ice cream shop pay its employees, and giving the burgeoning coffee chain capital for a second, third, and fourth location. Let’s shorten the distance between having an idea and making a living from it. We’re here to help sellers of all sizes start, run, and grow their business—and helping them grow their business is good business for everyone.

Job Description

Similar to how Square revolutionized payments, we want to radically alter how employees get paid and businesses manage their finances. Our mission is to make running a business simple and personal by leveraging automation and a best in class user-experience. Our small, highly collaborative team has already built many foundational features and are now focused on innovating and experimenting beyond a traditional payroll product. We want to truly transform the lives of people that make their living through our platform. We’re an integral and growing part of the Square ecosystem and are leveraging our position to build products and features that are beyond the capabilities of our competitors.

As a Data Scientist for Square Payroll, you will be responsible for driving growth analysis and initiatives from inception through execution. In this role you will collaborate closely with product managers, designers, engineers, marketing and other cross-functional team members within this organization.

You will:

  • Lead the research and development of new experimentation methods and predictive modeling techniques that could sharpen or speed up decision making and move key metrics

  • Use your experience in analytics tools and scientific rigor to produce actionable insight

  • Act as an advocate of data driven culture at our company: be the subject matter expert on your product and its data, and analytics at Square in general

  • Build visualizations that expose the health and performance of our products

  • Communicate key results to senior management in verbal, visual, and written media

  • Work with engineers to evangelize data best practices and implement analytics solutions

  • Proactively perform data exploration on user behavior to discover future testing opportunities.

  • Build statistical models of user behavior in order to help optimize customer acquisition and retention.

  • Present your research and insights to all levels of the company, clearly and concisely.

Qualifications

  • PhD or MS degree in Statistics, Mathematics, Operations Research, Econometrics or related field- 3+ years relevant experience with a proven track record of leveraging analytics to drive significant business impact
  • Strong statistical knowledge and intuition - ideally utilized in A/B testing or other experimentation setting
  • Strong SQL skills
  • Experience with distributed databases and query languages like Hive is a plus
  • Strong data visualizations skills to convey information and results clearly
  • Proficiency with a statistical analysis tool such as Python
  • Deep product sense
  • Ability to work independently and drive your own projects
  • Exceptional interpersonal and communication skills- Impactful presentation skills in front of a large and diverse audience
  • A fan of Square

Additional Information

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.

Privacy Policy