Data Scientist, Point of Sale & Customers



Job Description

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 this product development. While reporting to the head of data, you will lead experimentation and growth plans, develop automation solutions to personalize product experiences, provide insights to our sellers about their business, and improve 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 allowing us to build a remarkable product experience.

You will:

Partner with the product team members to make data-driven decisions 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 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

Provide comprehensive daily analytics support to partner teams, develop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful


You have:

6+ years of analytics and data science experience or equivalent

Experience building relationships to influence with product partners with data

Experience leading cross-functional projects that depend on the contributions of others in multiple disciplines

Fluency with data, analytics and visualization technologies (We use SQL, Looker, and Python)

Experience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, cross selling, clustering user archetypes.

Familiarity with data warehouse design 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) 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

More Details

Job Type:
Square, Inc.
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