Senior Data Scientist (Network Value, Plaid App)

Join Plaid, a leading fintech company, as a Senior Data Scientist. In this role, you will support the Guard product, a critical user-facing product within Plaid's Network Value portfolio. You will translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems, create OKRs and metrics tied to business goals, and support feature ship decisions through experimentation. You will also help identify new ways Guard can move top-line outcomes and influence prioritization, roadmapping, and execution across cross-functional partners.

• Champion a data-first approach to decision-making across the organization as Guard is built and scaled, serving as the data and analytical thought partner to product managers, engineers, and cross-functional stakeholders.
• Translate ambiguous business and product questions into clear analytics projects and decision frameworks, and perform ad-hoc and strategic analyses to identify opportunities to improve user outcomes and business performance.
• Build and maintain data models, dashboards, core metrics, OKRs, and success metrics that improve visibility into Guard performance and quantify progress against business goals.
• Fintech experience, including experience working with raw fintech data
• Strong communication skills and experience partnering cross-functionally with product managers, engineers, and other stakeholders
• 5-8+ years of experience as a Data Scientist or in a related analytics or data-focused role
• Experience with experimentation, ad-hoc analysis, and developing strategic insights
• Experience launching direct-to-consumer products from 0 to 1
• Experience driving data-driven performance for user-facing products
• Experience building or partnering closely on data pipelines using Airflow and dbt
• Strong SQL skills and experience creating metrics that drive alignment with stakeholders
• Track record of identifying novel ways to impact a top-line OKR and influencing stakeholders on prioritization, roadmapping, and/or execution
• Experience with causal inference
• Experience with machine learning
• Python proficiency
• We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!