# Senior Data Scientist

**Company:** [Plaid](https://hotfix.jobs/companies/plaid)
**Location:** San Francisco, CA, New York, NY, Seattle, WA
**Role:** Data Science
**Salary:** $191k – $263k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, Data Visualization, Machine Learning, Classification, Clustering, Optimization, dbt, Airflow, Data Pipelines
**Posted:** 2026-06-18

> First Data Scientist on Plaid's Embedded Insights team building analytics and measurement frameworks for ML models. Partners with product, engineering, and ML teams to drive data-informed decisions and evaluate model performance.

## Job Description

## Responsibilities
- Apply expertise in quantitative analysis, data mining, and data visualization to keep the Plaid network safe and improve the product suite
- Inform and influence product and engineering teams through data analysis and presentations
- Make long-term data science roadmap decisions on how machine learning and data science iteration should be done at Plaid
- Champion a data-first approach toward decision-making across the organization
- Analyze entities across the Plaid network to understand behavior patterns and develop metrics and monitoring systems that identify anomalies and emerging risks
- Create dashboards and reporting frameworks that provide visibility into machine learning model performance
- Evaluate the impact and value of ML models on customer and internal datasets
- Translate complex analyses into compelling, actionable narratives for technical and business stakeholders
- Design and analyze experiments and communicate findings across teams
- Use data-driven insights to uncover opportunities to improve existing products and expand Plaid’s offerings

## Requirements
- 5+ years of industry experience in a Data Science role
- Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field
- Deep familiarity with SQL and data visualization tools
- Understanding of modern machine learning techniques such as classification, clustering, optimization
- Proven ability to tailor solutions to business problems in a cross-functional team
- Ability to code and iterate independently in Python to conduct exploratory data analysis

## Nice-to-Haves
- Experience building data pipelines in DBT or Airflow

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