Staff Data Scientist, Acquisition Marketing

Posted 6 Days Ago
Be an Early Applicant
8 Locations
Hybrid
7+ Years Experience
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
We want to make the world’s relationship with money more relatable, instantly available, and universally accessible.
The Role
As a Staff Data Scientist in Acquisition Marketing, you will optimize marketing efforts by building models to ensure high ROI, analyzing A/B experiments, and working closely with marketing teams to understand the impact of campaigns. Your role involves creating dashboards, processing datasets, and utilizing statistical techniques to derive insights and inform strategic decisions.
Summary Generated by Built In

Company Description
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.
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 cash.app/careers.
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. As a Marketing Data Scientist, you will play a critical role in accelerating Cash App's growth by creating and improving how we measure the impact of all our marketing efforts.
In this role, you'll be embedded in our Marketing organization and work closely with quantitative finance, marketers, product management as well as other cross-functional partners to help us understand the incrementality of paid marketing initiatives at different network levels, create a validation plan for our mixed marketing model, and explore new opportunities to enable Cash App to become the top provider of primary banking services to our customers.
You will:

  • Build models to optimize our marketing efforts to ensure our spend has the best possible ROI
  • Design and analyze A/B experiments to evaluate the impact of marketing campaigns we launch
  • Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the Marketing product team and other key stakeholders
  • Partner directly with the Cash App Marketing org to influence their roadmap and define success metrics to understand the impact to business
  • Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior & segments
  • 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


You have:

  • A degree in statistics, data science, or similar STEM field with 10+ 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
  • Worked extensively with Causal Inference techniques and off platform data
  • A knack for turning ambiguous problems into clear deliverables and actionable insights
  • Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities
  • Experience working with customer acquisition data
  • Managed relationships with external vendors


Technologies we use and teach:

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


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 resource . If a location of interest is not listed, please speak with a recruiter for additional information.
Zone A:
$207,900 - $311,900 USD
Zone B:
$207,900 - $311,900 USD
Zone C:
$207,900 - $311,900 USD
Zone D:
$207,900 - $311,900 USD
Block, Inc. (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.

Top Skills

Python
R

What the Team is Saying

Laurence
April
Alec
Norman
Marquia
The Company
Atlanta, GA
3,500 Employees
Hybrid Workplace
Year Founded: 2013

What We Do

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 app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, instantly available and universally accessible.

Why Work With Us

At Cash App, our mission is simple yet ambitious: to redefine the world’s relationship with money by making it more relatable, instantly available, and universally accessible. To make this real, we’re building a team of dreamers, innovators, and risk-takers to break the mold of what a financial brand can be. If that’s you, then come join us.

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Cash App Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Cash App has always been a distributed team working across timezones and continents. Today, we're remote-first by default, but encourage you to choose how you want to work: from home, one of our offices, or a mix of both.

Typical time on-site: Flexible
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