Senior Data Scientist, Embedded Insights

Plaid

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CASeattle, WANew York, NY
Salary
$190,800–$262,800 / yr
Posted
22 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k
This role $227k
$99k most similar roles pay here $280k

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

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 44 open roles on FindRole.

Listed pay typically runs $190,800–$262,800 across 44 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 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.

See salary data

What you'll do

  • Establish the analytics and metrics backbone for internal and external products as the team's first Data Scientist.
  • Analyze network entities to identify behaviors, anomalies, and risks across the Plaid network.
  • Create foundational metrics, dashboards, and monitoring systems to track network health and machine learning performance.
  • Evaluate the value and performance of machine learning models using customer and internal data.
  • Translate technical findings into actionable narratives for product and engineering leadership.
  • Design experiments, define success metrics, and communicate results to stakeholders.
  • Analyze product and customer data to identify opportunities for expansion and improvement.
  • Build reliable data models and analytics workflows in collaboration with cross-functional teams.

What we're looking for

  • Bachelor’s degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field.
  • 6+ years of industry experience in Data Science or a related analytics role.
  • Deep familiarity with SQL and data visualization tools.
  • Understanding of modern machine learning techniques such as classification, clustering, and optimization.
  • Experience evaluating model performance and connecting technical results to business outcomes.
  • Ability to code and iterate independently in Python for exploratory data analysis.
  • Strong written and verbal communication skills to explain analytical methods to both technical and non-technical audiences.
  • Experience building or partnering on data pipelines using dbt or Airflow (preferred).

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