Data Science Manager (Fraud)

Plaid, a leading fintech company, as a Data Science Manager in the Fraud Data team. In this role, you will lead a team focused on customer-facing data science and fraud product analytics.

Responsibilities

• You will set the team's roadmap, develop its data scientists, and remain involved in analytical methods, technical reviews, and customer investigations.
• You will also define product metrics, establish a repeatable process for customer retrospectives and proofs of concept, and identify fraud signals and product opportunities.
• This is a hands-on role that requires strong technical depth in Python, SQL, statistics, product analytics, and applied modeling.
• Set a 6–12-month roadmap with Product, Engineering, and GTM, and assign priorities and responsibilities across the team.
• Define product metrics, their underlying data, and reporting and alerting practices; use the results in roadmap and investment decisions.
• Establish a repeatable process for customer retrospectives and proofs of concept, including data checks, evaluation methods, and clear recommendations.
• Demonstrated ability to set technical direction and deliver complex, high-impact initiatives through a team while remaining hands-on

Requirements

• Excellent communication and cross-functional collaboration skills across Product, Engineering, Machine Learning, GTM, and customer stakeholders
• Strong experience in product analytics, metric design, and measuring product performance
• Strong technical depth in Python, SQL, statistics, product analytics, and applied modeling
• Experience partnering directly with customers to deliver data-driven insights and solutions
• Deep domain expertise in fraud, risk, or related areas
• Experience using model interpretability techniques across both traditional machine learning and modern model architectures

Preferred

• Proven experience managing, mentoring, and developing high-performing data scientists
• Experience working with graph-based data or systems to identify fraud patterns and improve model performance
• Experience applying causal inference techniques to complex product or risk problems
• Experience with dbt or similar data transformation and analytics engineering tools

Pay

USD 216,000 - 329,400

We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!