Senior Data Scientist, Credit Network Growth

Carbon Data Solutions; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equity or commission

Comprehensive benefits

Job summary

The Network Value Data Science team at Plaid is building an industry-leading fintech consumer network. We translate ambiguous product questions into tractable analyses and partner with product managers, engineers, and stakeholders to shape Credit product strategy and boost performance.

You’ll work with SQL, Python, Redshift, Databricks, and dbt to enable trustworthy analytics, develop dashboards and core metrics, and design experiments that influence feature launches and roadmap decisions.

Qualifications

• 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, ideally from 0 to 1.
• Experience with experimentation, ad-hoc analysis, and strategic insight generation in a product environment.
• Strong SQL skills and experience creating metrics that drive alignment and decision-making with stakeholders.
• Experience driving data-informed performance improvements for user-facing products.
• Experience building or partnering closely on data pipelines using tools such as Airflow and dbt.
• A track record of identifying novel ways to impact a top-line OKR and influencing stakeholders on prioritization, roadmapping, and/or execution.
• Strong communication skills and the ability to explain analytical methods, tradeoffs, and recommendations to product managers, engineers, and other cross-functional partners.

Responsibilities

• Translate business and product questions into analytics projects and measurable outcomes.
• Build and maintain data models, dashboards, core metrics, OKRs, and KPIs.
• Design and analyze experiments to inform feature launches and roadmap decisions.
• Partner with product managers, engineers, and stakeholders to define problems and shape strategy.
• Create reliable, scalable analytics pipelines using SQL, Python, Redshift, Databricks, dbt, and notebooks.

Skills

SQL

Python

Experimentation

Data Modeling

Dashboarding

Communication

Tools

Airflow

dbt

Redshift

Databricks

Job description

The Network Value Data Science team at Plaid is building an industry-leading fintech consumer network. We translate ambiguous product questions into tractable analyses and partner with product managers, engineers, and stakeholders to shape Credit product strategy and boost performance.

You’ll work with SQL, Python, Redshift, Databricks, and dbt to enable trustworthy analytics, develop dashboards and core metrics, and design experiments that influence feature launches and roadmap decisions.