Senior Data Scientist - Network Value (Credit)
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 translate ambiguous product and business questions into clear analytics projects and measurable outcomes. You will partner with product managers engineers and stakeholders to shape strategy, analyze performance, build metrics and dashboards, and support feature decisions through experimentation. You will also develop reliable analytics using SQL, Python, Redshift, Databricks, notebooks, dbt and Airflow while identifying opportunities to improve products and customer experiences.
Requirements
- 5–8+ years of experience as a Data Scientist or in a related analytics or data-focused role
- Experience as a product data scientist supporting an early-stage or consumer-facing product
- Experience with experimentation ad hoc analysis and strategic insight generation
- Strong SQL skills
- Experience improving user-facing product performance with data
- Experience with Airflow and dbt data pipelines
- Experience influencing OKRs prioritization roadmapping or execution
- Strong communication skills
- Fintech experience
- Experience with causal inference or machine learning
- Python proficiency
Responsibilities
- Champion data-driven decision-making
- Partner with product managers engineers and stakeholders
- Translate business questions into analytics projects
- Perform ad hoc and strategic analysis
- Build data models dashboards metrics OKRs and KPIs
- Design and analyze experiments
- Develop analytics with SQL Python Redshift Databricks dbt and Airflow
- Influence prioritization roadmapping and execution decisions
Benefits
- Equity compensation
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) retirement plan