Senior Data Scientist, Network Value (Credit)

Plaid

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Francisco, CASeattle, WANew York, NY
Salary
$190,800–$262,800 / yr
Posted
14 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k
This role $227k
$120k most similar roles pay here $278k

This role pays more than 82% of similar roles. Most pay $145,150–$213,756 — the shaded band above. At the midpoint, this role pays about $227k versus about $179k 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 (Credit)

Senior Data Scientist - Network Value (Credit) joins the Network Value Data Science team as a product analytics partner for the Credit portfolio. This role involves translating ambiguous business questions into actionable analysis, performing ad-hoc and strategic research, and designing experiments to inform feature-shipping decisions. The successful candidate will build data models, dashboards, and core metrics like OKRs and KPIs to improve visibility into systems and enhance user experience. Day-to-day work includes collaborating with product managers and engineers to shape strategy for income and asset verification solutions. Technical requirements include proficiency in SQL, Python, Redshift, Databricks, notebooks, dbt, and Airflow. The role specifically addresses the challenge of building cash-flow-based products that help lenders approve more borrowers, reduce losses, and reach new segments by leveraging financial transaction data to improve product performance across the lender lifecycle.

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 actionable analytics projects and decision frameworks.
  • Perform ad-hoc and strategic analyses to identify opportunities for improving product performance and user experience.
  • Build and maintain data models, dashboards, and core metrics to improve visibility into internal systems.
  • Design and analyze experiments to inform feature launches and product iteration decisions.
  • Develop reliable and scalable analytics using SQL, Python, Redshift, Databricks, dbt, and Airflow.
  • Define OKRs and KPIs tied to business goals and user experience outcomes.
  • Partner with cross-functional stakeholders to shape product strategy and influence roadmap prioritization.

What we're looking for

  • Must have 5–8+ years of experience as a Data Scientist or in a related analytics or data-focused role.
  • Experience as a product data scientist helping grow an early-stage or consumer-facing product is required.
  • Experience with experimentation, ad-hoc analysis, and strategic insight generation in a product environment is required.
  • Strong SQL skills are required to create metrics that drive alignment and decision-making with stakeholders.
  • Experience driving data-informed performance improvements for user-facing products is required.
  • Experience building or partnering on data pipelines using tools such as Airflow and dbt is required.
  • Proven ability to communicate analytical methods, tradeoffs, and recommendations to cross-functional partners.
  • Preferred experience includes fintech, causal inference, machine learning, and Python proficiency.

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