Data Scientist

About The CompanyCash App, a flagship product of Block, Inc., is dedicated to democratizing financial services by providing innovative, accessible, and user-friendly solutions for consumers worldwide. As part of Block's expansive ecosystem, Cash App empowers individuals to spend, send, save, and invest money seamlessly through a simple and intuitive platform. Our mission is to build a more inclusive economy where everyone has equal access to financial opportunities, fostering economic empowerment and financial literacy across diverse communities. With a focus on cutting-edge technology and data-driven insights, we continuously strive to enhance our offerings and deliver exceptional value to our users. Our commitment to diversity, equity, and inclusion underscores our belief that a varied team fosters innovation and drives better outcomes for our customers and stakeholders.About The RoleThe Data Science team at Cash App plays a pivotal role in extracting valuable insights from our highly unique datasets, transforming data into actionable strategies that enhance the customer experience daily. Embedded within our Commerce & Lending organization, this role offers the opportunity to work closely with cross-functional teams, including product management, risk engineering, and other stakeholders, to drive the development and optimization of our loan and payment products. The ideal candidate will analyze large datasets using SQL and scripting languages, uncovering trends and opportunities that inform product development and strategic decision-making. You will approach complex problems from first principles, employing statistical and mathematical modeling techniques to understand customer behavior comprehensively.This role involves designing and analyzing A/B experiments to evaluate the impact of product changes, working with engineering teams to log new data sources, and building forecasts and reports that inform key business initiatives. You will develop code to process, cleanse, and combine data sources, often creating curated ETL datasets that are accessible and useful for the broader team. Additionally, you will build and share data visualizations and dashboards, enabling stakeholders to make data-driven decisions confidently. Effective communication of your findings and insights to team leads and cross-functional partners is essential to ensure alignment and strategic execution.QualificationsDirect experience in credit, lending, risk management, or financial services.Exceptional communication skills, capable of articulating complex technical concepts to diverse audiences.Proven leadership and influence skills, with the ability to manage complex, cross-functional projects from inception to completion.Advanced proficiency with SQL and data visualization tools such as Mode.Experience with scripting and data analysis programming languages, including Python or R.Bachelor's degree in statistics, data science, or a related STEM field with 10+ years of relevant experience OR graduate degree with 8+ years of experience.Strong analytical skills with a focus on statistical and mathematical modeling techniques.Ability to approach problems from first principles and develop innovative solutions.Experience in designing and analyzing A/B experiments and working with engineering teams on data logging and instrumentation.ResponsibilitiesAnalyze large datasets using SQL and scripting languages to surface actionable insights and identify opportunities for product improvement.Approach complex problems from first principles, utilizing statistical and mathematical modeling techniques to understand customer behavior.Design, implement, and analyze A/B experiments to evaluate the impact of new features and product changes.Collaborate with engineering teams to log new data sources, ensuring comprehensive data collection for analysis.Build, forecast, and report on key metrics that inform strategic decision-making and support business initiatives.Develop code to process, cleanse, and combine data sources, often creating curated ETL datasets for broader team use.Create and share data visualizations and self-serve dashboards to enable stakeholders to access insights easily.Communicate findings and insights effectively to team leads and cross-functional partners on a regular basis.Stay updated on industry trends and best practices in data science, continuously enhancing analytical techniques and tools.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.Employee Stock Purchase Program (ESPP).Wellness programs, including mental health support, access to 1:1 financial planners, and a monthly wellness allowance.Paid parental and caregiving leave to support work-life balance.Paid time off, including 12 paid holidays and sick leave (eligible employees).Access to learning and development resources to foster career growth.Paid life insurance, accidental death and dismemberment (AD&D), and disability benefits.Participation in equity plans and potential eligibility for sign-on bonuses.Flexible work arrangements and modern family planning benefits.Equal OpportunityBlock, Inc. is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We evaluate all employees and job applicants based solely on core competencies and qualifications relevant to the role, without regard to any legally protected characteristics.