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 Cash App's ML team and will be deeply embedded within our Customer Support Workstream. 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.

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 $167,300 - USD $204,500
Zone B: USD $158,900 - USD $194,300
Zone C: USD $150,600 - USD $184,000
Zone D: USD $142,200 - USD $173,800

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, veteran status, 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. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. 

Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.