Senior Data Scientist — Credit Product Analytics

Plaid; Seattle (WA); On-site; USD 191,000 - 263,000; Full time

Benefits offered by this job

Equity

401(k) matching

Comprehensive benefits

Job summary

Plaid is seeking a Senior Data Scientist for the Network Value Credit team in Seattle. You’ll translate business questions into analytics projects, build dashboards and metrics, and partner with product managers, engineers, and stakeholders to shape Credit product strategy and improve user experiences.

You will work with SQL, Python, Redshift, Databricks, notebooks, dbt, and Airflow to enable trustworthy analytics and scalable reporting, driving data-informed decisions across Plaid’s consumer

Qualifications

• 5–8+ years of experience in data science or analytics roles, focused on product data science.
• Experience as a product data scientist helping grow a consumer-facing product.
• Experience with experimentation, ad-hoc analysis, and strategic insight generation.
• Strong SQL skills and experience creating metrics to drive decision-making with stakeholders.
• Experience building or partnering on data pipelines with Airflow and dbt.

Responsibilities

• Translate business questions into analytics projects and measurable outcomes.
• Build and maintain data models, dashboards, and core metrics for Credit products.
• Design and analyze experiments to inform feature launches and ship decisions.
• Collaborate with product managers, engineers, and cross-functional partners to shape strategy.
• Partner on data pipelines and use SQL, Python, Redshift, and Databricks for reliable analytics.

Skills

SQL proficiency

Product data science

Experimentation

Data storytelling

Cross-functional collaboration

Tools

Airflow

dbt

Redshift

Databricks

Python

Job description

Plaid is seeking a Senior Data Scientist for the Network Value Credit team in Seattle. You’ll translate business questions into analytics projects, build dashboards and metrics, and partner with product managers, engineers, and stakeholders to shape Credit product strategy and improve user experiences.

You will work with SQL, Python, Redshift, Databricks, notebooks, dbt, and Airflow to enable trustworthy analytics and scalable reporting, driving data-informed decisions across Plaid’s consumer