Senior Data Scientist - Support

Job description

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.

You will:

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

Design and analyze A/B experiments to evaluate the impact of changes we make to our operational processes and tools

Work with engineers to log new, useful data sources as we evolve processes, tooling, and features

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

Qualifications

You have:

An appreciation for the connection between your work and the experience it delivers to customers. 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

Experience in a high-growth tech environment

Technologies we use and teach

SQL, Snowflake, etc.

Python (Pandas, Numpy)

Looker, Mode, Tableau, Prefect, Airflow

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 $170,000.00

Outside Zone A: USD $160,000.00

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.

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 parental and caregiving leave

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)

Learning and Development resources

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. 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.

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Worksite address

san francisco, CA, 94199, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.