# Data Scientist

**Company:** [Plaid](https://hotfix.jobs/companies/plaid)
**Location:** San Francisco, CA, Seattle, WA, New York, NY
**Role:** Data Science
**Salary:** $191k – $263k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, Redshift, Databricks, dbt, Apache Airflow, Data Modeling, Experimentation, Causal Inference, Machine Learning, Dashboarding
**Posted:** 2026-08-28

> Senior Data Scientist supporting Plaid’s Credit product area, translating ambiguous product questions into analytics, metrics, experiments, and strategic insights. The role partners closely with product and engineering teams and requires 5+ years of data science or related analytics experience.

## Job Description

## Responsibilities
- Champion data-first decision-making and help teams use evidence to set direction.
- Partner with product managers, engineers, and cross-functional stakeholders to define problems, shape product strategy, and execute roadmaps.
- Translate ambiguous business and product questions into analytics projects, decision frameworks, and measurable outcomes.
- Perform ad hoc and strategic analyses to identify opportunities to improve product performance, user experiences, and business results.
- Build and maintain data models, dashboards, metrics, OKRs, and KPIs for Credit systems.
- Design and analyze experiments supporting feature launches, iteration, and ship decisions.
- Partner on dbt- and Airflow-powered data pipelines and create reliable, scalable analytics.
- Identify opportunities to influence top-line OKRs and advise prioritization, roadmapping, and execution decisions.
- Help shape Credit product strategy, improve product performance and user experience, and grow Plaid’s consumer network.

## 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 stakeholder alignment and decision-making.
- Experience driving data-informed performance improvements for user-facing products.
- Experience building or closely partnering on data pipelines using tools such as Airflow and dbt.
- Track record of influencing top-line OKRs and stakeholder prioritization, roadmapping, or execution.
- Strong communication skills, including explaining analytical methods, tradeoffs, and recommendations to technical and cross-functional partners.

## Nice-to-haves
- Fintech experience, including work with raw fintech or financial transaction data.
- Experience with causal inference or machine learning.
- Python proficiency.

## Compensation and Benefits
- Annual salary range: $190,800–$262,800.
- Additional compensation may include equity and/or commission, depending on the position offered.
- Comprehensive benefits include medical, dental, vision, and 401(k).

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