Senior Data Scientist - Embedded Insights

Plaid

Quick summary

Work type
On-site
Location
San Francisco, CANew York, NYSeattle, WA
Salary
$190,800–$262,800 / yr
Posted
2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $168k
This role $227k
$107k most similar roles pay here $280k

This role pays more than 89% of similar roles. Most pay $135,187–$200,000 — the shaded band above. At the midpoint, this role pays about $227k versus about $168k 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 98 open roles on FindRole.

Listed pay typically runs $190,800–$262,800 across 98 roles with salary data.

Most-posted roles

View all roles at Plaid

At a glance

TL;DR · Senior Data Scientist - Embedded Insights

As the first Data Scientist on Plaid’s Embedded Insights team within the Data organization, you will lead the development of an analytics and measurement framework to support internal and customer-facing products. You will collaborate with product, engineering, and machine learning teams to drive data-informed decision-making, assess model performance, and enhance the health and growth of the Plaid network. Your responsibilities include analyzing behavior patterns across the network, creating dashboards for monitoring ML models, and translating complex analyses into actionable insights for stakeholders. Key skills required are 5+ years of industry experience in Data Science, proficiency in SQL and data visualization tools like Python, and familiarity with machine learning techniques such as classification and clustering. Experience with DBT or Airflow for building data pipelines is beneficial. This role involves working on a large-scale network to address critical business problems through data-driven solutions.

What you'll do

  • Develop and maintain analytics and measurement frameworks for internal and customer-facing products.
  • Analyze network entities to identify behavior patterns, anomalies, and emerging risks using machine learning models.
  • Create dashboards and reporting systems to monitor the performance of machine learning models.
  • Translate complex data analyses into actionable insights for both technical and business stakeholders.
  • Design and analyze experiments to evaluate product and model performance, driving continuous improvement.

What we're looking for

  • 5+ years of industry experience in Data Science.
  • Bachelor's degree or equivalent in Computer Science, Statistics, Engineering, Economics.
  • Proficiency in SQL and data visualization tools.
  • Expertise in modern machine learning techniques like classification and clustering.
  • Ability to independently code and conduct exploratory data analysis in Python.
  • Experience building data pipelines using DBT or Airflow.

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