Data Scientist - Fraud

Plaid1 weeks ago

Location

San Francisco

Type

Full Time

Salary

USD 130,000 – 180,000

Level

Mid

Role

Data Scientist

Posted

Mar 10, 2026

Full TimeMid

The role

Summary

Plaid is seeking a Data Scientist for their Fraud team to analyze and enhance fraud detection systems. The ideal candidate will leverage machine learning and product analytics to develop insights that improve fraud prevention products, working closely with product and engineering teams to drive meaningful improvements in financial technology solutions.

What you'll do

Product Analytics and Insights: Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements by analyzing complex datasets and uncovering actionable insights.

Performance Metrics and Dashboards: Own the development of comprehensive metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making for fraud detection products.

Cross-Functional Collaboration: Partner with go-to-market teams to demonstrate the technical and business value of fraud prevention products to customers and stakeholders.

Experimental Design: Design and evaluate experiments in close partnership with Product and Engineering teams to shape new customer-facing features and inform the future of fraud products.

Data Modeling: Design underlying data models and schemas that enable efficient, reliable analysis and reporting of fraud detection performance.

What we look for

Technical

Programming SkillsStrong proficiency in SQL and Python for data analysis and machine learning applications

Product AnalyticsHands-on experience with product analytics, experimentation frameworks, and backtesting methodologies

Dashboard DevelopmentSkilled in designing, building, and maintaining comprehensive dashboards and core product performance metrics

Machine Learning EvaluationCapable of designing and interpreting backtests or offline evaluations for ML and rules-based systems

Education

Degree RequirementBachelor's degree in Data Science, Computer Science, Statistics, or related quantitative field preferred

Experience

Work Experience3-5 years of total experience, including at least 2-3 years working deeply with product analytics, experimentation, or data-driven products

Skills

Required skills

SQLAdvanced querying and data manipulation skills

PythonProficient in data analysis and machine learning libraries

Product AnalyticsDeep understanding of experimental design and performance measurement

CommunicationExcellent stakeholder management and cross-functional collaboration skills

Nice to have

Fraud Domain KnowledgeBackground or experience in fraud or risk domains

Model Performance MetricsFamiliarity with data insights products and model performance evaluation

Go-to-Market AnalyticsExposure to customer-facing or GTM-oriented analytics

Compensation & benefits

Salary

USD 130,000 – 180,000 (annual)

Stock options

Available

Benefits

Diversity and Inclusion

Commitment to building a diverse team and creating an equitable workplace

Equal Opportunity

Non-discriminatory hiring practices that value diverse backgrounds and experiences

Reasonable Accommodations

Support for candidates with disabilities during the recruitment process

Interview process

1
Initial Application Review — Screening of candidate qualifications and background
2
Technical Screen — Initial interview focusing on technical skills and product analytics experience
3
Hiring Manager Interview — Deep dive into candidate's experience and potential fit with the Fraud team
4
Technical Assessment — Practical evaluation of data analysis, SQL, and machine learning skills
5
Final Interview — Comprehensive interview with team members and leadership