Staff Data Scientist - Sales & Account Management

Key Skills

Data Visualization, Looker, NumPy, Pandas, Python Programming, R Programming, Snowflake, SQL, Tableau

Job Description

The Cash App Data Science (DS) organization is growing and we are looking for a Data Scientist to join the team, embedded within our Sales and Account Management domain. You will be responsible for deriving valuable insights from our extremely unique datasets as well as developing models, forecasts, analyses, reports to help achieve merchant acquisition, retention, growth and profitability goals.

You will:

• Partner directly with the Cash App Sales & AM team, working closely with operations, strategy, engineers, account executives/managers and leads
• Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to key stakeholders
• Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand merchant 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 marketplace platforms specially on the merchant side, would be great to have.
• A bachelor degree in statistics, data science, or similar STEM field with 8+ years of experience in a relevant role OR
• A graduate degree in statistics, data science, or similar STEM field with 6+ 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

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 $163,000 - USD $205,000

Zone B: USD $155,500 - USD $190,000

Zone C: USD $147,700 - USD $184,500

Zone D: USD $139,000 - USD $172,400

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.