Senior Machine Learning Engineer, Embedded Insights
Plaid
Quick summary
Market check
How this pay compares to similar roles
This role pays more than 88% of similar roles. Most pay $127,703–$196,650 — the shaded band above. At the midpoint, this role pays about $227k versus about $162k 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 44 open roles on FindRole.
Listed pay typically runs $190,800–$262,800 across 44 roles with salary data.
Most-posted roles
At a glance
As the first Data Scientist on the Embedded Insights team within the Data organization, you will establish the analytics and metrics backbone for a diverse suite of internal and external products. You will be responsible for analyzing entities across the network to identify risks and anomalies while creating foundational dashboards and monitoring systems to track machine learning model performance. Your daily work involves designing experiments, defining success guardrails, and translating complex technical findings into actionable narratives for product and engineering leaders. To succeed, you must possess deep familiarity with SQL, Python for exploratory data analysis, and visualization tools. You will apply knowledge of classification, clustering, and optimization to improve network health. Preferred experience includes building data pipelines using dbt or Airflow to support the development of reliable models and analytics workflows.
What does a Data Scientist earn in California?
Median $208902 from 71 postings across 26 companies.
Skills
What you'll do
What we're looking for
More like this
Plaid
Plaid
Plaid
IBM
Intuit
General Dynamics