Senior Data Scientist - Network Value

Plaid•San Francisco, CA

2d•$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 Data Scientist supporting Remember Me. In this role, you’ll become a data and analytical thought partner to product managers and engineers, helping drive data-informed product development for a critical user-facing product. 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 quantifying progress against business goals, support feature ship decisions through experimentation, and build ML prototypes and causal inference models. Your work will directly support Conversion and Remember Me Enrolled Profile OKRs and help Plaid grow the size and depth of its Consumer Network.

Requirements

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
Strong SQL skills and experience creating metrics that drive alignment with stakeholders
Experience building data pipelines with 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

Fintech experience and experience working with raw fintech data
Experience with causal inference, machine learning, and Python

Responsibilities

Champion a data-first approach toward decision-making across the entire organization
Become the data and analytical thought partner to product managers and engineers
Translate business questions into analytics projects
Perform ad-hoc and strategic analyses to identify opportunities for improved outcomes and support business decisions
Build data models and dashboards to improve visibility into core systems
Create OKRs quantifying progress against business goals
Design and analyze experiments to support feature ship decisions
Build ML prototypes and causal inference models