Block's Financial Platform (FinPlat) organization needs a Data Scientist to support "acquiring side" A/B testing, reporting, strategic analysis, and automation to optimize payment processing, transaction costs, and authorization rates across Square, Cash App, and AfterPay.
Requirements
- Expertise in hypothesis testing and causal inference.
- Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python).
- Experience working on ambiguous problems with high business impact and resolving complex issues in innovative and efficient ways.
- A strong understanding and willingness to be hands-on in building data pipelines and architecture.
- Experience working in Fintech or banking.
- Have an advanced degree.
Responsibilities
- Establish subject-matter expertise in payment rails, focusing on cards (pre-paid, debit, credit, etc.) and bank rails (wire, ACH, direct deposit, etc.)
- Build “soup to nuts” data products, taking raw eventing data from engineering teams and turning into actionable analyses and ML models.
- Expand your influence in the Block Data Science community by developing and evangelizing data solutions to improve analytics insightfulness and actionability.
- Partner with Engineering and Operations leadership to drive a culture of data-driven financial impact.
- Influence product roadmaps and guide the Financial Operations (FinOps) team to navigate through product opportunities and problem ambiguities.
- Resolve complex issues in innovative and efficient ways.
- Build data pipelines and architecture.
Other
- 12+ years of related experience (data science, preferably in payment analytics, chargebacks, or related fields) with Bachelor's degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience
- At least a bachelor's degree in a technical field such as Engineering, Physics, mathematics, computer science, etc.
- Ability to build strong relationships with cross-functional stakeholders, clearly communicating findings and influencing product designs.
