Senior Data Scientist – Fintech Product Analytics

FinTech Collective, LLC; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Plaid is seeking a Senior Data Scientist for the Network Value team focusing on Plaid App, a core user-facing product within Plaid's ecosystem. You will translate business questions into analytics projects, build dashboards and core metrics, run experiments, and partner with product managers and engineers to drive data-informed decisions.

You’ll design data models and OKRs, and help scale insights via Airflow- and dbt-powered pipelines from 0 to 1.

Qualifications

• 5-8+ years in data science or analytics roles.
• Fintech experience with raw fintech data.
• Experience launching direct-to-consumer products from 0 to 1.
• Experience with experimentation and developing strategic insights.
• Strong SQL skills and metrics that drive alignment with stakeholders.
• Experience building or partnering on data pipelines using Airflow and dbt.
• Strong communication skills and collaboration with product managers and engineers.
• Track record of impacting top-line OKRs and influencing prioritization/roadmapping/execution.

Responsibilities

• Translate business questions into analytics projects and decision frameworks.
• Build and maintain data models, dashboards, core metrics, OKRs, and success metrics for Plaid App.
• Design and analyze experiments to guide feature launches and iterations.
• Partner on Airflow- and dbt-powered data pipelines for trustworthy analytics and scalable reporting.
• Identify novel ways to impact top-line OKRs and influence prioritization and roadmap.

Skills

SQL

Experimentation

Data analysis

Cross-functional collaboration

Product analytics

Fintech domain experience

OKR alignment

Communication

Tools

Airflow

dbt

Python

Job description

Plaid is seeking a Senior Data Scientist for the Network Value team focusing on Plaid App, a core user-facing product within Plaid's ecosystem. You will translate business questions into analytics projects, build dashboards and core metrics, run experiments, and partner with product managers and engineers to drive data-informed decisions.

You’ll design data models and OKRs, and help scale insights via Airflow- and dbt-powered pipelines from 0 to 1.