Senior Data Scientist

2 weeks ago

San Francisco CA United States Square Inc. Full time
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.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 the Risk & Fraud organization and work closely with machine learning, product management as well as other cross-functional partners to drive strategy using a variety of data science techniques and own north star metric monitoring. Because our risk and fraud systems play such a critical role to the company and to protecting our users, a sense of urgency and appreciation for how our work impacts the customer experience is absolutely critical for this position.As a Data Scientist you will:
  • Partner directly with the Cash App Risk & Fraud org, working closely with machine learning, operations, engineers, product, legal, and compliance teams
  • 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 and optimize our risk actions
  • Work with engineers to log new, useful data sources to reflect our risk and 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 basisQualificationsYou have:
    • Previous exposure to or interest in areas like risk, fraud, statistical reporting methods, or regulatory data science
    • A bachelor degree in statistics, data science, or similar STEM field with 4+ years of experience in a relevant role OR
    • A graduate degree in statistics, data science, or similar STEM field with 2+ 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
    • Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilitiesAdditional InformationBlock 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 $171,800 - USD $257,600Zone B: USD $163,200 - USD $244,800Zone C: USD $154,600 - USD $232,000Zone D: USD $146,000 - USD $219,000Full-time employee benefits include the following:
      • Healthcare coverage (Medical, Vision and Dental insurance)
      • Health Savings Account and Flexible Spending Account
      • Retirement Plans including company match
      • Employee Stock Purchase Program
      • Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance
      • Paid parental and caregiving leave
      • Paid time off (including 12 paid holidays)
      • Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees)
      • Learning and Development resources
      • Paid Life insurance, AD&D, and disability benefitsWe'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 a proud equal opportunity employer.Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Because the material duties of this role involve direct or indirect access to sensitive personal or financial data, a criminal background check is required following a contingent offer of employment.
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