Data Scientist, Plaid

Fraud

$162-222k

Salary applicable to NY & SF only & may differ for further locations

SQL

Python

Mid and Senior level

New York

San Francisco Bay Area

More information about location

1-5 days a week in office

Data network powering the tools millions of people rely on to live a healthier financial life

Open for applications

Data network powering the tools millions of people rely on to live a healthier financial life

1001+ employees

FintechB2BBankingInternal toolsSaaSAPI

Open for applications

$162-222k

Salary applicable to NY & SF only & may differ for further locations

SQL

Python

Mid and Senior level

New York

San Francisco Bay Area

More information about location

1-5 days a week in office

1001+ employees

FintechB2BBankingInternal toolsSaaSAPI

Company mission

To unlock financial freedom for everyone.

Job

Company

Role

Who you are

3–5 years of total experience, including at least 2–3 years working deeply with product analytics, experimentation, or data-driven products
Strong proficiency in SQL and Python
Hands-on experience with product analytics, experimentation frameworks, or backtesting methodologies
Skilled in designing, building, and maintaining dashboards and core product performance metrics
Capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems
Excellent communicator with strong stakeholder-management skills across diverse teams
Background in fraud or risk domains — Nice to have
Familiarity with data-insights products and a solid understanding of model-performance metrics — Nice to have
Exposure to customer-facing or GTM-facing analytics — Nice to have
We recognize that strong qualifications can come from both prior work experiences and lived experiences. 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!

What the job involves

As a Data Scientist on Plaid’s Fraud Data team, you will analyze customer and network traffic to understand how Protect performs across different segments and use cases. You’ll build dashboards and performance metrics that create a clear, shared view of product health for both the team and our go-to-market partners
You will run backtests on customer traffic to evaluate model and rule performance, uncover high-value opportunities, and generate insights that support sales motions and customer expansion. You’ll also design the underlying data models and schemas that enable efficient, reliable analysis and reporting
In close partnership with Product and Engineering, you will help design and evaluate experiments that shape new customer-facing features and inform the future of our fraud products
Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements
Own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making
Analyze complex datasets to uncover clear, actionable insights that shape product direction
Partner with go-to-market teams to demonstrate the technical and business value of our products to customers

Our take

Plaid builds infrastructure that allows consumers to interact with their bank account on the web through a number of third-party applications, like Venmo, Robinhood, Coinbase, Acorns and LendingClub.

Plaid has integrated with over 12,000 financial institutions in the US, Canada, the UK and Europe. And about a quarter of people living in North America with bank accounts have linked with Plaid through at least one of the hundreds of apps that leverage Plaid’s application program interfaces (APIs).

The platform allows companies to create financial services applications without having to hire their own team of engineers to build out a tool that connects apps to its users’ bank accounts. This is very valuable in a world where there are increasing number of fintechs, so the demand for Plaid's services are only going to grow.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

40% female employees

-15% employee growth in 12 months

Glassdoor (4.1)

Company

Funding (last 2 of 6 rounds)

Apr 2025

$575m

LATE VC

Apr 2021

$425m

SERIES D

Total funding: $1.3bn

Company benefits

Vibrant offices in SF, NYC, and Raleigh-Durham—with catered meals, happy hours, and clubs to keep you connected
Competitive pay, comprehensive health benefits, and support for fertility, mental health, and parental leave
Lifestyle perks including home office stipends, daycare support, and commuting benefits like CitiBike and Lyft

Company HQ

SoMa, San Francisco, CA

Leadership

Zach Perret

(Co-Founder & CEO)

Previously, Zach was a Consultant at Bain and a Research Fellow and Trustee at Duke before co-founding Plaid ion 2012.

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