Data Scientist, Commerce Platform
- Full-time
Company 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.
Job Description
Data Scientist at Square are embedded within product teams and use engineering and analytics to empower data-driven decision-making in the full life cycle of product development. As a member of the Commerce Platform team, you will lead experimentation and growth projects, develop automation solutions to personalize product experiences, provide insights to our sellers about their business, and promote strategic decisions with data. Squares mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby helping us build a remarkable product experience.
You will:
- Work with product partners across the organization by applying descriptive and predictive analytics where it will have material impact
- Apply a diverse set of tactics including statistics, quantitative reasoning, and machine learning to produce applicable insights
- Manage and solve complex problems that extend beyond the traditional boundaries of product domains, analytics, and data science
- Communicate analysis and decisions to high-level partners and executives
- Lead the data strategy of embedded product engineering by helping them make well-informed architecture and design decisions
- Provide comprehensive analytics support to partner teams, develop tools to empower data access and self-service so your expertise can be used where it is most needed
Qualifications
You have:
- 2+ years of analytics experience or equivalent
- Experience leading cross-functional projects that depend on the contributions of others in many disciplines
- Fluency with data, analytics and visualization technologies (We primarily use SQL, Looker, and Python)
- Experience in applying both data-backed heuristics and machine-learning techniques to solve practical product problems such as predicting churn, cross selling, clustering user archetypes, and more
- Familiarity with data warehouse design, development and best practices
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. 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:
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
- Flexible time off
- Learning and Development resources