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Active1w ago

Data Science Manager - Fraud

Plaid·📍 New York, New York, United States

Employment

FULL TIME

Work mode

Remote

Experience

5+ years

Salary

Not disclosed

Salary not disclosed

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Role overview

Job description

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Fraud Data is the data science and machine learning team within Plaid’s Fraud organization, respons

What they are looking for

Skills & requirements

pythonsqlawsmachine learningaigoexcelfinancehr

Qualification

Proven experience managing, mentoring, and developing high-performing data scientists. Deep domain expertise in fraud, risk, or related areas. Strong experience in product analytics, metric design, and measuring product performance. Experience partnering directly with customers to deliver data-driven insights and solutions. Strong technical depth in Python, SQL, statistics, product analytics, and applied modeling. Demonstrated ability to set technical direction and deliver complex, high-impact initiatives through a team while remaining hands-on. Excellent communication and cross-functional collaboration skills across Product, Engineering, Machine Learning, GTM, and customer stakeholders. Nice-to-Have: 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 using model interpretability techniques across both traditional machine learning and modern model architectures. Experience with dbt or similar data transformation and analytics engineering tools. Our mission at Plaid is to unlock financial freedom for everyone. To support that miss

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Hiring company

Plaid

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