Senior Data Scientist, Network Value (Credit)

What you'll do

• Translate ambiguous business questions into clear analytics projects and measurable 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 KPIs to improve visibility into core systems.
• Design and analyze experiments to inform feature launches and iteration decisions.
• Develop and manage data pipelines using SQL, Python, Redshift, Databricks, dbt, and Airflow.
• Create OKRs and core metrics tied to business goals and consumer network growth.
• Partner with product managers and engineers to shape product strategy and execute roadmaps.

What we're looking for

• 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 to explain analytical methods, tradeoffs, and recommendations to cross-functional partners.
• Fintech experience, including experience working with raw fintech or financial transaction data (preferred).
• Experience with causal inference or machine learning (preferred).
• Python proficiency (preferred).