Data Scientist Scientist ll - San Francisco, CA, United States - Block

Description

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 47 million monthly active customers.

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

The Cash App Support organization is growing and we are looking for a Data Scientist (DS) to join the team.

The DS team at Cash derives valuable insights from our extremely unique datasets and turn those insights into actions that improve the experience for our customers every day.

In this role, you'll be embedded in our Support org and work closely with operations and other cross-functional partners to drive meaningful change for how our customers interact with the Support team and resolve issues with their accounts.

Partner directly with a Cash App customer support team, working closely with operations, engineers, and machine learning
Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the operations team and other key stakeholders
Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand advocate and customer behavior
Work with engineers to log new, useful data sources as we evolve processes, tooling, and features
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
Previous exposure to or interest in customer support problems would be great to have
A bachelor degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role OR
A graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant role
Advanced proficiency with SQL and data visualization tools (e.g. Looker, Tableau, etc)
Experience with scripting and data analysis programming languages, such as Python or R
Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities
SQL, Snowflake, etc.
Python (Pandas, Numpy)
Looker, Mode, Tableau, Prefect, Airflow

Full-time employee benefits include the following:
Healthcare coverage (Medical, Vision and Dental insurance)
Health Savings Account and Flexible Spending Account
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 time off (including 12 paid holidays)
Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees)
Paid Life insurance, AD&D, and disability benefits
These benefits are further detailed in Block's policies.

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.

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.

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.

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.

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.