Senior Data Scientist - Network Value

Plaid

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $164k
This role $227k
$99k most similar roles pay here $280k

This role pays more than 88% of similar roles. Most pay $126,800–$201,012 — the shaded band above. At the midpoint, this role pays about $227k versus about $164k 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 - Network Value

The Network Value Data Science team at Plaid is seeking a mid-level Data Scientist to support the Remember Me product, a critical user-facing feature. In this role, you will collaborate closely with product managers and engineers to drive data-informed development by translating business questions into actionable analytics projects and performing strategic analyses. You will also build data models and dashboards to enhance visibility into core systems, create OKRs for tracking progress against business goals, design experiments to inform feature decisions, and develop ML prototypes and causal inference models. The ideal candidate has 5-8+ years of experience in a similar role, with strong SQL skills, proficiency in Airflow and dbt for data pipeline creation, and the ability to communicate effectively across functions. Familiarity with fintech data is beneficial, as is expertise in causal inference and machine learning using Python.

What you'll do

  • Champion a data-first approach to decision-making across the organization.
  • Translate business questions into actionable analytics projects and insights.
  • Perform ad-hoc and strategic analyses to inform product development decisions.
  • Build data models and dashboards for improved visibility into core systems.
  • Design and analyze experiments to support feature release decisions.
  • Create OKRs quantifying progress against key business goals.

What we're looking for

  • 5+ years of experience as a Data Scientist or in a related analytics role
  • Proven track record in experimentation, ad-hoc analysis, and strategic insights development
  • Expertise in SQL for creating metrics that align with stakeholder goals
  • Experience building data pipelines using Airflow and dbt
  • Strong communication skills for cross-functional collaboration
  • History of driving performance for user-facing products through data-driven methods

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