About Plaid
Empowering financial freedom through seamless APIs
Key Highlights
- Headquartered in SoMa, San Francisco, CA
- Over 12,000 financial institution integrations
- Serves 25% of North Americans with bank accounts
- $1.3 billion raised in Series D funding
Plaid is a leading fintech company headquartered in SoMa, San Francisco, CA, specializing in APIs that connect consumers with their financial institutions. With over 12,000 integrations across the US, Canada, the UK, and Europe, Plaid serves hundreds of applications like Venmo, Robinhood, and Coinba...
🎁 Benefits
Plaid offers comprehensive benefits including medical, dental, and life insurance, along with equity for full-time employees. Employees enjoy a monthl...
🌟 Culture
Plaid fosters a culture focused on empowering employees with ownership and flexibility. The company prioritizes innovation in fintech infrastructure, ...
Data Scientist • Mid-Level
Skills & Technologies
Overview
Plaid is hiring a Data Scientist for their Fraud team to build machine learning systems that enhance fraud detection. You'll analyze customer data and develop performance metrics using SQL and data analysis techniques. This role requires experience in data science and machine learning.
Job Description
Who you are
You have a strong background in data science, with experience in building machine learning models and analyzing complex datasets. You understand the intricacies of fraud detection and have a keen eye for identifying patterns in data that can help mitigate risks. Your proficiency in SQL allows you to efficiently query and manipulate data, ensuring that your analyses are both accurate and insightful.
You are comfortable working with cross-functional teams, collaborating closely with product and engineering to design experiments that inform new features. Your ability to communicate complex data insights in a clear and actionable manner makes you a valuable partner in driving product decisions. You thrive in a fast-paced environment and are eager to contribute to a team that is dedicated to making financial interactions safer for users.
What you'll do
As a Data Scientist on Plaid's Fraud Data team, you will manage the full lifecycle of machine learning systems, from feature pipeline development to model training and deployment. You will analyze customer and network traffic to evaluate how fraud detection products perform across different segments. Your role will involve building dashboards and performance metrics that provide a clear view of product health for both the team and go-to-market partners.
You will run backtests on customer traffic to assess model and rule performance, uncovering high-value opportunities that can support sales motions and customer expansion. Additionally, you will design the underlying data models and schemas that enable efficient analysis and reporting. Your insights will directly influence product development and help shape the future of Plaid's fraud detection capabilities.
What we offer
Plaid offers a collaborative work environment where your contributions will have a significant impact on the financial technology landscape. You will have the opportunity to work with a talented team dedicated to innovation and excellence. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to empower users to connect their financial accounts safely and efficiently.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Plaid.
Similar Jobs You Might Like
Based on your interests and this role
Data Scientist
Whatnot is hiring a Data Scientist specializing in Risk & Fraud to analyze data and provide actionable insights to enhance marketplace safety. You'll work with SQL and Python to develop strategies that mitigate fraud risks. This position requires expertise in data analysis and machine learning.
Data Scientist
OpenAI is hiring a Data Scientist for their Integrity team to design and build systems for fraud detection and remediation. You'll work with Python and SQL to combat platform abuse. This role requires experience in anti-fraud and abuse systems.
Data Scientist
OpenAI is hiring a Data Scientist to design and implement critical models and analyses for the Strategic Finance team. You'll work closely with Finance and Engineering teams, utilizing skills in predictive modeling and causal inference. This role is based in San Francisco with a hybrid work model.
Data Scientist
Parafin is hiring a Data Scientist to leverage data insights for small business financial health. You'll work with a team focused on creating automated financial services. This position requires expertise in data analysis and machine learning.
Data Scientist
Mercor is hiring a Data Scientist to drive analyses and experiments that enhance core product metrics. You'll work with SQL and A/B testing methodologies in San Francisco. This role requires experience in data modeling and analytics.