What are the responsibilities and job description for the Senior Data Scientist, Ad Sales position at Cash?
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 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.
Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply.
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.
Job Description
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. 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 basis.
Qualifications You have :
Technologies we use and teach :
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.
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 :
171,800 — $257,600 USD
Zone B :
163,200 — $244,800 USD
Zone C :
154,600 — $232,000 USD
Zone 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.
J-18808-Ljbffr
Salary : $146,000 - $219,000
