Senior Data Scientist Embedded Insights
Plaid is a financial data network and fintech infrastructure company that helps people securely connect financial accounts to digital financial services.
Maintainer signals as of 9/2/2026
Funding history
Projects
About Plaid Inc.
Plaid provides developer infrastructure and financial tools for account connectivity, financial data access, bank payments, identity verification, AML monitoring, credit and underwriting, and fraud prevention. Its network supports thousands of fintech companies and more than 12,000 financial institutions across the United States, Canada, the United Kingdom, and Europe.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will establish analytics and metrics for internal and external products. You will analyze network, product, and customer data; create dashboards and monitoring; evaluate machine learning models; design experiments; identify improvements; and build reliable data models and analytics workflows with cross-functional partners.
Requirements
- 6+ years of industry experience in data science or a related analytics role.
- Familiarity with SQL and data visualization tools.
- Understanding of machine learning techniques including classification, clustering, and optimization.
- Experience evaluating model performance and connecting technical results to business outcomes.
- Experience tailoring analytical solutions to business problems with cross-functional partners.
- Python experience for exploratory data analysis.
- Written and verbal communication skills for technical and non-technical audiences.
Responsibilities
- Analyze network entities to identify behavior, opportunities, anomalies, and risks.
- Create metrics, dashboards, and monitoring systems for network health and model performance.
- Evaluate machine learning model value and performance.
- Identify model improvements and communicate actionable findings.
- Design experiments, define success metrics and guardrails, analyze results, and communicate recommendations.
- Analyze product and customer data for improvement and expansion opportunities.
- Partner with cross-functional teams to build reliable data models and analytics workflows.
Benefits
- Equity
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)