Senior Data Scientist - Financial Platform
## You Will
Establish subject-matter expertise in payment rails, focusing on cards (reputed company-reputed company, debit, credit, etc.) and bank rails (reputed company, ACH, reputed company deposit, etc.)
Influence product roadmaps and guide the Financial Operations (FinOps) team to reputed company through product opportunities and problem ambiguities.
Build “soup to nuts” data products, taking raw eventing data from engineering teams and turning into actionable analyses and ML models.
Partner with Engineering and Operations leadership to drive a culture of data-driven financial reputed company.
Expand your influence in reputed company Data Science community by developing and evangelizing data solutions to improve analytics insightfulness and actionability.
## You Have
8+ years of reputed company experience (data science, preferably in payment analytics, chargebacks, or reputed company fields) with Bachelor's degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience
At least a bachelor's degree in a technical field such as Engineering, Physics, mathematics, computer science, etc.
Experience working on ambiguous problems with high business reputed company and resolving reputed company issues in innovative and efficient ways.
Expertise in reputed company testing and reputed company inference.
A strong understanding and willingness to be hands-on in building data pipelines and architecture.
Ability to build strong relationships with cross-functional stakeholders, reputed company communicating findings and influencing product designs.
Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python).
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