Data Scientist

About The CompanyFounded in 2013, Block's Cash App started with the goal of simplifying peer-to-peer payments. Over the years, it has evolved into a comprehensive financial ecosystem offering a wide range of products including Afterpay / Clearpay, to enable users to send, spend, invest, borrow, and save money more conveniently. With over 50 million monthly active customers, the company is committed to redefining the world's relationship with money by making financial services more relatable, instantly accessible, and universally available.Cash App employs thousands of professionals globally, operating across both office and remote locations. The organization fosters a culture of innovation, collaboration, and impact, supporting flexible work arrangements to ensure employees remain creative, productive, and satisfied regardless of their location. As a distributed team since inception, Cash App emphasizes inclusivity and adaptability, striving to create an environment where every team member can thrive.About The RoleThe Data Science team at Cash App plays a pivotal role in deriving meaningful insights from unique datasets to enhance customer experience and drive strategic decisions. This role is embedded within the Commerce & Lending organization, working closely with product management, risk engineering, and cross-functional partners to oversee loan and payment products. The successful candidate will analyze large datasets, develop models, design experiments, and build data-driven tools to support business initiatives. The role demands a combination of technical expertise, strategic thinking, and effective communication to influence product development and risk management practices.QualificationsDirect experience in credit, lending, risk management, or financial services.Exceptional communication skills to articulate complex technical concepts to diverse audiences.Proven leadership and influence in managing cross-functional projects from inception to completion.Advanced proficiency with SQL and data visualization tools such as Mode.Experience with scripting languages like Python or R for data analysis.A bachelor’s degree in statistics, data science, or a related STEM field with 10+ years of relevant experience ORA graduate degree in statistics, data science, or a similar STEM discipline with 8+ years of relevant experience.ResponsibilitiesAnalyze large datasets using SQL and scripting languages to identify actionable insights for product teams and stakeholders.Approach problems from first principles, employing statistical and mathematical modeling techniques to understand customer behavior.Design and analyze A/B experiments to evaluate the impact of product changes and enhancements.Collaborate with engineering teams to log new data sources and support the development of new product features.Build, forecast, and report on key metrics that inform strategic decision-making and business initiatives.Develop code to process, cleanse, and integrate data sources, creating curated ETL datasets for broader team use.Create and share data visualizations and self-serve dashboards to empower partners and stakeholders.Communicate findings effectively with team leads and cross-functional partners on a regular basis.BenefitsComprehensive healthcare coverage including Medical, Vision, and Dental insurance.Health Savings Account (HSA) and Flexible Spending Account (FSA) options.Retirement plans with company matching contributions.Participation in Employee Stock Purchase Program.Wellness programs including mental health support, access to financial planners, and a monthly wellness allowance.Paid parental and caregiving leave to support work-life balance.Paid time off, including 12 paid holidays annually.Paid sick leave, with benefits varying based on employment status and location.Access to Learning and Development resources to foster professional growth.Paid Life insurance, AD&D, and disability benefits.Eligibility to participate in the company's equity plans and potential sign-on bonuses.Equal OpportunityBlock is an equal opportunity employer committed to fostering an inclusive workplace. We evaluate all employees and job applicants based solely on core competencies required for the role, without regard to legally protected classes. We strive to ensure a fair and inclusive interview process, providing reasonable accommodations to disabled applicants throughout recruitment. We encourage all qualified candidates to apply and share any accommodation needs with our recruitment team. For more information on our diversity and inclusion initiatives, please visit our Inclusion & Diversity page.