Decision Scientist at Cash App

Cash App

Decision Scientist

Employees can work remotely

Full-time

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 ecosystem, developing unique financial products, including Afterpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. This is our mission, and it’s why working at Cash App means so much more than a job.

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.

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

Job Description

This role is part of our Cash App's ML team and will be deeply embedded within one of our product teams - here are the workstreams we're currently hiring for:

Customer Support - This team’s mission is to create better-than-human Customer Support Experiences. Cash App holds people’s money, and building customers’ trust is absolutely essential to our brand. Cash App’s mission is to serve the unbanked as well as disrupt traditional financial institutions. Providing fast and reliable help whenever the customer needs it is a major component of building trust and pursuing this mission. Our massive scale and deep trove of Support transcript data create an endless number of opportunities to leverage statistical models and machine learning in the analysis to better understand our customers and offer better experiences. We are a highly creative group that prefers to solve problems from first principles; we move quickly, make incremental changes, and deploy to production every day.

Ads & Incentives - This team is responsible for building data-driven solutions, strategies, in-depth analytics and dashboards in consumer experience in partnership with business stakeholders. This team drives monetization throughout the Cash App ecosystem and drives consumer engagement in delivering growth.

As a Decision Scientist, you will apply data-driven techniques to identify new opportunities, participate in project definition and prioritization and directly impact business strategy setting outcomes. There is a high expectation of proactively identifying, investigating, and resolving problems; designing and establishing key metrics; and the effective usage of various techniques such as statistical modeling, A/B experimentation and machine learning to drive the best decisions.

Qualifications

Technologies we use (and teach):

Python (NumPy, Pandas, sklearn, xgboost, etc.)

MySQL, Snowflake, GCP/AWS, Tableau, Looker

You have:

Advanced degree in Mathematics, Statistics, Computer Science, Economics or other quantitative field

3+ years of experience in a data-driven decision making role in a domain that leverages applied ML regularly such as recommendation, ads and NLP

Solid experience with data analysis and scripting in Python and proficient in SQL

Familiarity with ML techniques, applications and best practices in solving real world problems

Proficient at defining, utilizing and communicating performance metrics with Product, Design and Engineering, etc.

Proven track record of tackling ambiguous business challenges with minimal guidance and applying analytical/statistical methods to tackle real-world problems using big data

Additional Information

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $152,100 - USD $185,900

Zone B: USD $144,500 - USD $176,700

Zone C: USD $136,900 - USD $167,300

Zone D: USD $129,300 - USD $158,100

To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.

Benefits include the following:

Healthcare coverage

Retirement Plans including company match

Employee Stock Purchase Program

Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance

Paid parental and caregiving leave

Paid time off

Learning and Development resources

Paid Life insurance, AD&D. and disability benefits

Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources

This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

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, 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.