The Developers team is leading the evolution to an open platform that provides access to a rich ecosystem of services for our merchants. We are focused on helping third-party developers build applications and integrations to meet the needs of different merchants to help them better run their business. And good business for them is good business for us. As a Data Scientist on the Developers Analytics team, you will partner with engineering, product, design, and marketing and own data solutions end to end to improve the customer experience with a focus on acquisition and retention.  

You Will:

• Partner directly with the product team 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

• Lead and coordinate on 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 used where it is most impactful

You have:

• 5+ years of analytics and data science 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

• 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)

• M.S. in a quantitative field is a plus

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. 

Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.

Perks

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

Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD54566975, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD54566975 is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.