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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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Plaidについて

Plaid
Series DThe easiest way for users to connect their bank accounts to an app.
501-1,000
従業員数
San Francisco
本社所在地
$13.4B
企業価値
レビュー
3.1
5件のレビュー
ワークライフバランス
2.5
報酬
4.0
企業文化
2.8
キャリア
2.9
経営陣
2.7
45%
友人に勧める
良い点
Competitive compensation package
Good benefits offerings
Location flexibility options
改善点
Concerns about long-term career growth
Limited mentorship compared to other companies
Toxic attitudes in tech community
給与レンジ
269件のデータ
Mid/L4
Senior/L5
Director
Mid/L4 · Data Scientist
10件のレポート
$175,713
年収総額
基本給
$143,960
ストック
$31,753
ボーナス
-
$119,175
$263,794
面接体験
3件の面接
難易度
3.0
/ 5
期間
21-35週間
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Background Check
6
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
ニュース&話題
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