Senior Data Scientist, Network Value

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
63 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k
This role $227k
$125k most similar roles pay here $278k

This role pays more than 82% of similar roles. Most pay $147,775–$214,500 — the shaded band above. At the midpoint, this role pays about $227k versus about $181k 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 35 open roles on FindRole.

Listed pay typically runs $190,800–$262,800 across 35 roles with salary data.

Most-posted roles

View all roles at Plaid

At a glance

TL;DR · Senior Data Scientist, Network Value

Senior Data Scientist - Network Value (Plaid App) joins the Network Value Data Science team, a product analytics group embedded across key areas to drive data-first decision-making. In this role, you will serve as an analytical thought partner to product managers and engineers, translating ambiguous business questions into tractable projects for the Plaid App. You will build and maintain data models, dashboards, and core metrics while designing experiments to support feature launches. Your daily work involves performing ad-hoc and strategic analysis to improve user outcomes and influence roadmapping. The role requires expertise in SQL, Airflow, dbt, and Python, with a focus on causal inference and machine learning prototypes. You will solve complex problems involving raw fintech data to scale a direct-to-consumer product from zero to one within the financial ecosystem.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

What you'll do

  • Translate ambiguous business questions into clear analytics projects and decision frameworks.
  • Perform ad-hoc and strategic analyses to identify opportunities for improving user outcomes and performance.
  • Build and maintain data models, dashboards, and core metrics to improve system visibility.
  • Design and analyze experiments to support feature launch and iteration decisions.
  • Partner on Airflow and dbt powered pipelines to ensure trustworthy analytics and scalable reporting.
  • Identify novel ways to impact top-line OKRs and influence product roadmap prioritization.
  • Explore machine learning prototypes and causal inference approaches to improve decision quality.

What we're looking for

  • 5-8+ years of experience as a Data Scientist or in a related analytics or data-focused role.
  • Experience working with raw fintech data and within the fintech industry.
  • Experience launching direct-to-consumer products from 0 to 1.
  • Experience with experimentation, ad-hoc analysis, and developing strategic insights.
  • Strong SQL skills and experience creating metrics that drive stakeholder alignment.
  • Experience building or partnering on data pipelines using Airflow and dbt.
  • Strong communication skills for cross-functional partnership with product managers and engineers.
  • Proficiency in Python, machine learning, and causal inference is preferred.

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