We are looking for experienced Data Scientists to join Square's growing Banking organization. We have an incredible team that is working to make financing easier, fair and more transparent for all businesses. As a Data Scientist on the New Products Team, you will leverage analytics, engineering, and machine learning to empower data-driven decision making in the full lifecycle of product development. Banking is expanding its product set to help sellers meet their varying  financing needs. You would partner with the various teams to drive this initiative. You will work closely with product managers and machine learning engineers. You will leverage data to predict credit and fraud risk, improve strategic decisions, and lead experimentation/growth projects.

This role will be embedded within a product team.

You Will:

• Partner with multiple team members to make data-driven decisions across the organization by leveraging descriptive and predictive analytics to produce material impact
• Provide comprehensive analytics support to partner teams, primarily through development of self-serve tools (such as ETLs and Looker)
• Determine and monitor essential metrics for product projects
• Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of product domains, analytics, and data science
• Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written media
• Apply a diverse set of techniques including statistics, quantitative reasoning to help grow the business

• 5+ years of analytics experience or equivalent
• Fluent in data tools for analysis and visualization (SQL, dashboards, Python/R)
• Strong problem solving skills and ability to translate ambiguous, unstructured problems into actionable data-driven analyses
• Skilled verbal and written communication to explain technical analysis to non-technical partners
• Familiarity with data warehouse design, development and best practices
• Proven ability to lead projects that depend on the contributions of others in multiple disciplines
• Experience in applying both data-backed heuristics and machine-learning techniques to solve practical product problems such as funnel optimization. Bonus points for experience applying these techniques to underwriting.
• Some background in lending, finance or risk is helpful but can be learned on the job

Technologies we use and teach:

• SQL (Snowflake)
• Optimizely
• Airflow (ETL)
• Looker, Amplitude, Tableau
• Python (pandas, scikit-learn, etc.)

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, veteran status, 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, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

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 TBD, 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. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.