Data Scientist, Fraud

Plaid

Confirmed live today High trust

Quick summary

Work type: On-site
Location: New York, NYSeattleSan Francisco, CA
Salary: $176,400–$226,800 / yr
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $171k

This role $202k

$104k most similar roles pay here $240k

This role pays more than 69% of similar roles. Most pay $126,800–$215,556 — the shaded band above. At the midpoint, this role pays about $202k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About Plaid

Plaid is a financial technology company that builds a data network powering digital finance applications, enabling consumers to securely connect their financial accounts to apps and services. Industry: Financial Technology & Data Infrastructure

Plaid currently has 41 open roles on FindRole.

Listed pay typically runs $201,600–$272,400 across 41 roles with salary data.

Most-posted roles

View all roles at Plaid

At a glance

TL;DR · Data Scientist, Fraud

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As a Data Scientist - Fraud on the Fraud Data team, you will work at the intersection of product analytics, machine learning, and fraud risk to improve product performance. You will analyze customer and network traffic to evaluate how Plaid Protect performs across various use cases and segments while building dashboards and metrics that provide shared views of product performance. Your daily responsibilities include running backtests to identify high-impact rules and model strategies, designing scalable data models and schemas for reporting, and partnering with Product and Engineering teams to design experiments for new features. You will utilize SQL and Python to analyze complex datasets and translate insights into action. The role focuses on the fraud and risk domain, specifically building machine learning systems that leverage network data to identify and prevent fraud before it occurs.

What does a Data Scientist earn in New York?

Median $186530 from 42 postings across 18 companies.

See salary data

Skills

SQL Python Machine Learning Product Analytics Experimentation Backtesting Dashboards Reporting Frameworks Fraud Detection

What you'll do

Analyze customer and network traffic to evaluate fraud detection performance across various segments.
Build dashboards and metrics to provide a shared view of product performance.
Run backtests to evaluate model strategies and identify high-impact rules.
Generate data-driven insights to support customer growth and expansion.
Design scalable data models and schemas for reliable reporting and analysis.
Partner with Product and Engineering teams to design and analyze experiments for new features.
Translate complex technical analyses into actionable insights for both technical and non-technical stakeholders.

What we're looking for

3–5 years of relevant experience in data science or related fields.
At least 2–3 years of experience working extensively with product analytics, experimentation, or data-driven products.
Strong proficiency in SQL and Python for analyzing complex datasets and translating insights into action.
Hands-on experience with product analytics, experimentation, and/or backtesting methodologies.
Experience building and maintaining dashboards, reporting frameworks, and core product metrics.
Strong communication and stakeholder management skills to communicate complex analyses to technical and non-technical audiences.
Experience in fraud/risk domains (preferred).
Experience with developing ML models (preferred).

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