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Data Scientist - Network Value

Plaid

Data Scientist - Network Value

Plaid

San Francisco

·

On-site

·

Full-time

·

1w ago

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, So Fi, 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, Washington D.C., London and Amsterdam.

The Network Value Data Science team is helping Plaid build an industry leading fintech consumer network by increasing access to, authorization for, and usability of Plaid’s User’s financial footprints. We embed within product teams to support OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision making approach everywhere we go.

You’ll be a Data Scientist supporting Network Enablement Access (NEA). In this role, you’ll help build an industry-leading fintech consumer network by expanding access to, authorization for, and usability of Plaid users’ financial footprints. You’ll partner closely with embedded teams to support product goals and roadmaps, ensuring Plaid continues to deliver trusted, innovative, and scalable solutions that empower consumers to connect and use their financial data with confidence..

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About Plaid

Plaid

Plaid

Series D

The easiest way for users to connect their bank accounts to an app.

501-1,000

Employees

San Francisco

Headquarters

$13.4B

Valuation

Reviews

3.3

4 reviews

Work Life Balance

3.0

Compensation

3.2

Culture

3.5

Career

3.8

Management

2.5

45%

Recommend to a Friend

Pros

Competitive compensation and stock options

Mentorship opportunities

Flexible work location

Cons

Time tracking software monitoring

Compensation promises not fulfilled

Administrative issues with pay

Salary Ranges

282 data points

Junior/L3

Senior/L5

Junior/L3 · Business Development

0 reports

$218,900

total / year

Base

-

Stock

-

Bonus

-

$185,965

$251,835

Interview Experience

5 interviews

Difficulty

2.8

/ 5

Duration

21-35 weeks

Offer Rate

40%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Background Check

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience