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

Additional Information

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: USD $205,000.00
Outside Zone A: USD $190,000.00

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