Senior Data Scientist, Ad Sales

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/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.

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.

The Role

The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. In this role, you’ll be embedded in our Commerce organization and work closely with the advertising sales team as well as other cross-functional partners to help deepen the integration of the Cash App, Square and Afterpay ecosystems and focus on driving advertising growth across the ecosystem. In addition to that standard technical and communication skills we target in a Data Science candidate, an understanding of consumer shopping experiences is a huge value add for candidates considering this role.

You Will

• Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders
• Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior
• Design and analyze A/B experiments to evaluate the impact of changes we make to the product
• Work with engineers to log new, useful data sources as we build new product 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 basi

You Have

• Previous exposure to or interest in areas like anomaly detection or regulatory data science 
• A bachelor degree in statistics, data science, or similar STEM field with 7+ years of experience in a relevant role OR
• A graduate degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role
• Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
• Experience with scripting and data analysis programming languages, such as Python or R
• Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilitie

Technologies We Use and Teach

• SQL, Snowflake, etc.
• Python (Pandas, Numpy)
• Tableau, Airflow, Looker, Mode, Prefec

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 an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.

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.

Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

 

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.

To find a location’s zone designation, please refer to this salaryzones.pdf" target="_blank">resource. If a location of interest is not listed, please speak with a recruiter for additional information. 

 

Zone A:$171,800—$257,600 USDZone B: $163,200—$244,800 USDZone C:$154,600—$232,000 USDZone D:$146,000—$219,000 USD

Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Check out benefits at Block.

Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, and TIDAL, 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.

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