Staff Data Scientist

4 weeks ago

San Francisco, California, United States Block Full time

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
Job Description
The Data Science team at Cash App is customer-obsessed, collaborates intensely with other key disciplines, and always makes decisions with an eye towards Cash App's business as a whole. The goal of the DS team is to derive valuable insights from our extremely unique datasets and turn those insights into actions that improve the experience for our customers every day.
We're hiring a Staff Data Scientist to join the Commerce team, supporting our programmatic ads business. We have developed a robust onsite advertising business on Afterpay and now we're looking to build the next generation of our advertising business that will connect our merchants and customers more deeply off-platform.
We're seeking an exceptional Data Scientist to help define the strategy for this business and lay the foundation for transformative, highly complex, "0 to 1" features. You will play a critical role in accelerating Cash App's growth by focusing on developing a strategic thought partnership with our teams in Product and Sales, and leverage data to enable us to achieve our roadmap goals, make effective spend decisions across marketing channels and understand the impact of incentives on Cash App users.
You will:

  • Build models to optimize our programmatic marketing efforts to ensure our spend has the best possible ROI
  • Design and analyze 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
  • 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

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