Senior Data Scientist - Network Value (Plaid App)

About the role

We’re dedicated to empowering the transformation of how people interact with their finances by building the tools and experiences that thousands of developers use to create their own products. The Network Value Data Science team is helping Plaid build an industry-leading fintech consumer network with best-in-class products and user experiences. We are a product analytics team embedded in key product areas across Plaid, supporting some of Plaid’s most important OKRs and helping execute on product roadmaps.

As a Senior Data Scientist supporting Plaid App—a critical user-facing product within Plaid’s Network Value portfolio—you’ll become a data and analytical thought partner to product managers and engineers. You’ll drive data-informed product development as the team launches and scales the product from 0 to 1, translating business questions into analytics projects, performing ad-hoc and strategic analysis, and improving visibility into core systems through data modeling and dashboarding.

Responsibilities

• Champion a data-first approach to decision-making across the organization as Plaid App 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 product performance and quantify progress against business goals.
• Design and analyze experiments to support feature launch and iteration decisions, and partner on Airflow- and dbt-powered data pipelines that enable trustworthy analytics and scalable reporting.
• Identify novel ways to impact top-line OKRs and influence stakeholders on prioritization, roadmapping, and execution, while exploring ML prototypes and causal inference approaches where they can improve product or decision quality.

Qualifications

• 5-8+ years of experience as a Data Scientist or in a related analytics or data-focused role.
• Fintech experience, including experience working with raw fintech data.
• Experience launching direct-to-consumer products from 0 to 1.
• Experience with experimentation, ad-hoc analysis, and developing strategic insights.
• Strong SQL skills and experience creating metrics that drive alignment with stakeholders.
• Experience building or partnering closely on data pipelines using Airflow and dbt.
• Strong communication skills and experience partnering cross-functionally with product managers, engineers, and other stakeholders.
• Experience driving data-driven performance for user-facing products.
• Track record of identifying novel ways to impact a top-line OKR and influencing stakeholders on prioritization, roadmapping, and/or execution.

Skills

• Experience with causal inference (nice to have).
• Experience with machine learning (nice to have).
• Python proficiency (nice to have).

Benefits

Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k).

Pay

$190,800.00 - $262,800.00 per year. Additional compensation in the form(s) of equity and/or commission may apply, depending on the position offered.