Head of Network Science and Behavioral Modeling

Company Description

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 app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.

Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We've been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.

Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees' creativity and productivity wherever they are.

Check out our locations, benefits and more at cash.app/careers.

Job Description

Social influences impact every decision in our lives including how we spend, save and receive money.  Do you think about how these behaviors influence our everyday decisions?  Do you want to measure these influences with a goal of changing how humans interact with money (or its replacement)? If so, we have the role for you.

We are hiring for the Head of Network Science and Behavioral Modeling at Cash App.  Understanding how network effects enable customer engagement and retention is a strategic priority for Cash.  In this position you will have complete ownership and responsibility for building, maintaining and analyzing Cash App’s customer graph for purposes of community finding, business segmentation, quantifying network effect / virality and overcoming customer “cold start”. Your role is specifically responsible for helping management locate sub-networks and quantify the social influences on these sub-networks within both the Cash App and broader Block ecosystem.  The output of your work will be used directly to build products, forecast business results and measure the impact of marketing campaigns.

Additionally, you will manage other data scientists in the development, implementation and maintenance of a suite of behavioral models to predict customer behavior, specifically churn, winback, product attach and the movement of funds in and out of the cash app ecosystem.  The results of these models will be used to drive top-line business decisions, communicate strategies to Wall St. and influence investment decisioning.  It is of utmost importance that the modeling specifications are interpretable by a business audience.

You will report directly to the Head of Quantitative Finance and Strategy and you will present your results to an Executive Audience on a regular basis.  Understanding our networks from a quantitative standpoint is a strategic priority for both Cash App Executives as well as the Board of Directors.

Because of the high-profile nature of this role we are looking for someone who not only specializes in graph science but also can present to executive management and has the ability to manage a team of data scientists focused on behavioral model development.

You will:

1. Own The Cash App Graph - Build and own the roadmap for the graph; specify edge types, edge weights and identify needed node attributes to be include in the graph
2. Locate Sub-Networks - Help drive community detection and segmentation that can be used to manage our entire business across finance, marketing and product development
3. Oversee Behavioral Model Development - Develop behavioral models to be used across the business to predict customer churn, winback and money movements across the ecosystem
4. Manage  Teams - Build, manage and coach a team of junior scientists in both behavioral modeling and graph science
5. Present Findings to Executives - Present all of your findings to executives up to and including the CEO of Cash

Qualifications

You have:

• PhD in a quantitative field such as Statistics, Computer Science, Physics or a PhD in Social Sciences with a strong quantitative background
• 5+ years of experience in network science specifically related to community finding (modularity maximization, spectral clustering, hierarchical, etc.) and network effect measurement / scoring 
• 5+ years of behavioral modeling using both parametric and non-parametric techniques (classification / time series)
• Knowledge of Python, Graph Databases, Docker, Snowflake, Databricks and Prefect
• Understanding of how social influences affect custom