Senior Data Scientist, Growth and Acquisition

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

The Role

The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. As a Data Scientist on our Marketing team, you will play a critical role in accelerating Cash App’s growth by creating and improving how we acquire new users onto the platform. In this role, you’ll be embedded in our Marketing organization and work closely with quantitative finance, marketers, product management as well as other cross-functional partners and explore new opportunities to enable Cash App to become the top provider of primary banking services to our customers.

You Will

• Build models to optimize our user acquisition efforts to ensure our spend has the best possible ROI
• Design and analyze A/B experiments to evaluate the impact of marketing campaigns we run
• Support audience sizing and campaign results tracking
• Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the Marketing product team and other key stakeholders
• Partner directly with the Cash App Marketing org to influence their roadmap and define success metrics to understand the impact to business
• Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior & segments
• Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
• Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
• Build and share data visualizations and self-serve dashboards for your partners
• Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

We're Targeting

• A Level 6 hire - typical experience for L6 would be something like BSc +7-10 years; MSc + 5-8 years; or a PhD + 3-5 years
• A background in Statistics, Mathematics, Biostatistics, Economics or related quantitative field
• Significant focus on acquisition marketing analytics and deep understanding of marketing funnel metrics, attribution models, and customer lifetime value (CLV) calculations
• Expertise in causal inference methods (e.g., propensity score matching, synthetic control methods, instrumental variables)
• Proficiency in statistical programming languages (e.g., Python, R) and data manipulation tools (e.g., SQL, Spark)
• Proven ability to communicate complex analytical concepts to non-technical stakeholders

Technologies We Use and Teach

• SQL, Snowflake, etc.
• Python (Pandas, Numpy)
• Tableau, Airflow, Looker, Mode, Prefect 

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 an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.

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.

Block will consider qualified applicants with arrest