Senior Machine Learning Engineer (Research Scientist), Fraud
Plaid
Quick summary
Market check
How this pay compares to similar roles
This role pays more than 73% of similar roles. Most pay $133,049–$211,611 — the blue band above. At the midpoint, this role pays about $202k versus about $172k for comparable roles.
Based on 240 similar postings.
Employer
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 71 open roles on FindRole.
Listed pay typically runs $190,800–$262,800 across 71 roles with salary data.
Most-posted roles
At a glance
As a Data Scientist - Fraud, you will join the Fraud Data team to help build machine learning systems that identify and prevent fraud before it happens. You will analyze customer and network traffic to evaluate how Plaid Protect performs across various use cases and customer segments. Your daily responsibilities include building dashboards and metrics to provide a shared view of product performance, running backtests to identify high-impact rules and model strategies, and designing scalable data models and schemas. You will also partner with Product and Engineering to design and analyze experiments for new customer-facing features. To succeed, you must possess strong proficiency in SQL and Python, along with experience in product analytics, experimentation, backtesting methodologies, and translating complex analyses into actionable insights.
What does a Data Scientist earn in New York?
Median $173200 from 46 postings across 20 companies.
Skills
What you'll do
What we're looking for
Related searches
More like this
Plaid
Plaid
Capital One Financial
Capital One Financial
Plaid
Capital One Financial