Senior Data Scientist - Network Value (Guard)

Plaid•San Francisco, CA

14d•$190,800 - $262,800

About The Position

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. We support some of Plaid’s most important OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision-making approach everywhere we go. You’ll be a Senior Data Scientist supporting Guard, a critical user-facing product within Plaid’s Network Value portfolio. In this role, you’ll become a data and analytical thought partner to product managers and engineers, helping drive data-informed product development as the team launches and scales the product from 0 to 1. You’ll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs and metrics tied to business goals, and support feature ship decisions through experimentation. You’ll also help identify new ways Guard can move top-line outcomes and influence prioritization, roadmapping, and execution across cross-functional partners.

Requirements

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

Nice To Haves

Experience with causal inference
Experience with machine learning
Python proficiency

Responsibilities

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.
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.