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Active1d ago

Data Scientist - Credit (Retros)

Plaid·📍 New York, United States

Employment

FULL TIME

Work mode

Remote

Experience

2–5 years

Salary

$176.4K – $226.8K/yr

Pay vs market · Below median

This job's pay ($201,600 a year at the midpoint) is higher than about 40% of 144 salary-listed Data Scientist jobs in United States in the last 12 months; their median is $221,940.

Salary data →

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. About the Team We’re part of Plaid’s Data organization, building models and insights that help mill

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About this listing

  • Source: Plaid's official careers site (via Ashby) · last confirmed on the source 3 Nov 2026
  • Posted 2 Nov 2026

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Role market pulse

How Data Scientist demand looks in United States

56/100 · steady

Live jobs

197

Posted 30d

64

30d movement

+4.9%

Remote share

33%

Salary listed

72.1%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws

Department · All Departments

Hiring company

Plaid

Finance & Banking

Plaid helps all companies build fintech solutions by making it easy, safe and reliable for people to connect their financial data to apps and services.

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