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 marketers, product management as well as other cross-functional partners to make effective spend decisions across marketing channels, understand the impact of incentives 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
Qualifications
You have:
- 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
- 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
Technologies we use and teach:
- SQL, Snowflake, etc.
- Python (Pandas, Numpy)
- Tableau, Airflow, Looker, Mode, Prefect
Qualifications
You have:
- 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
- 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
Technologies we use and teach:
- SQL, Snowflake, etc.
- Python (Pandas, Numpy)
- Tableau, Airflow, Looker, Mode, Prefect
What We Do
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.
Why Work With Us
Across our ecosystem, we’re working to help our diverse audiences — sellers, individuals, artists, fans, developers, and all the people in between — overcome barriers to access the economy.
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Block Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Most employees can join Block in an office location, from home, or with a mix of both. We create work spaces and experiences that help individuals and teams to be their most creative and collaborative.