Data Scientist, Point of Sale & Customers
1 week ago
Job type: Full-time
Hiring from: USA Only
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.
Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable product experience. As a member of the Point of Sale & Customers team, you will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bringing our products to market. While reporting to the head of data, you will lead experimentation & growth plans, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data.
Partner directly with the product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impact
Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insights
Coordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data science
Communicate analysis and decisions to high-level partners and executives in verbal, visual, and written media
Lead the data strategy of embedded product engineering, to help make well-informed architecture and design decisions that affect data at Square
Develop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
3+ years of analytics and data science experience or equivalent
Experience building relationships to influence product partners with data
Experience leading cross-functional projects that depend on the contributions of others in multiple disciplines
Experience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypes
Familiarity with data warehouse design and best practices
Fluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)
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.
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
- Flexible time off
- Learning and Development resources
Before you apply, please check if any restrictions apply in terms of time zone or country.
This job has a geo-restriction in place: USA Only.
Please mention that you come from Remotive when applying for this job.
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