Senior Data Scientist - (Payment Risk/Fraud) Embedded Insights
Posted
Tech Stack
Responsibilities
- Apply expertise in quantitative analysis, data mining, and data visualization to improve the Plaid network and product suite.
- Inform and influence product and engineering teams through data analysis and presentations.
- Make long-term data science roadmap decisions for machine learning and data science iteration at Plaid.
- Champion a data-first approach toward decision-making across the entire organization.
Benefits
- 401k
- Equity
- Health Insurance
Culture
Mission-DrivenCustomer-ObsessedDiverse LeadershipInclusive Hiring
Requirements
Required: Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field.
Regions: Us
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About Plaid
Industry: fintech
Size: large
Plaid builds the infrastructure and data tools powering thousands of financial applications, connecting millions of consumers with their bank accounts.
View company profile →Compensation
Equity: Additional compensation in the form(s) of equity
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