Description
The Network Value Data Science team at Plaid is seeking a Senior Data Scientist to support Credit, a critical product area within Plaid's Network Value portfolio.
The ideal candidate will be a data and analytical thought partner to product managers, engineers, and cross-functional stakeholders, helping shape Credit product strategy, improve product performance and user experience, and grow Plaid's consumer network.
Responsibilities:
- 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 KPIs tied to business goals and user experiences, and support feature-shipping decisions through experimentation.
- Work with SQL, Python, Redshift, Databricks, notebooks, dbt, and Airflow to enable trustworthy analytics and scalable reporting.
- Champion a data-first approach to decision-making across Plaid and help teams use evidence to set direction.
- Partner closely with product managers, engineers, and other stakeholders to define problems, shape product strategy, and execute against roadmaps.
- Identify novel ways to influence top-line OKRs and help stakeholders make thoughtful prioritization, roadmapping, and execution decisions.
Requirements:
- 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 and the ability to explain analytical methods, tradeoffs, and recommendations to product managers, engineers, and other cross-functional partners.
Nice-to-have qualifications:
- Fintech experience, including experience working with raw fintech or financial transaction data.
- Experience with causal inference or machine learning.
- Python proficiency.
Compensation:
- $190.8K - $262.8K per year