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Plaid is seeking a Senior Data Scientist to join the Embedded Insights team, a central ML and data science unit within Plaid's Data organization. You will be the first Data Scientist on this team, responsible for establishing the analytics and metrics backbone that supports both internal systems and external products.
In this role, you will drive better decision-making across Plaid by analyzing entities across the Plaid network to understand behavior, identify opportunities, anomalies, and risks. Your day-to-day responsibilities include:
- Analyzing network behavior and identifying opportunities, anomalies, and risks across Plaid's financial institution network
- Creating foundational metrics, dashboards, and monitoring systems that provide visibility into network health and machine learning model performance
- Evaluating the value and performance of ML models using customer and internal data
- Identifying opportunities to improve existing models and translating findings into actionable narratives for product and engineering leadership
- Designing experiments, defining success metrics and guardrails, analyzing results, and communicating recommendations to stakeholders
- Analyzing Plaid product and customer data to identify opportunities for product improvement and expansion
- Partnering with cross-functional teams to build reliable data models and analytics workflows
You will help shape long-term data science and machine learning roadmaps, establish analytics practices and frameworks from the ground up, and champion a data-first approach to decision-making across the organization. This is an opportunity to influence product and engineering teams through rigorous analysis, thoughtful presentations, and clear recommendations.
Plaid powers financial connectivity for millions of users and thousands of companies including Venmo, SoFi, Fortune 500 companies, and major banks. The company's network covers 12,000 financial institutions across the US, Canada, UK, and Europe.
REQUIREMENTS:
- 6+ years of industry experience in Data Science or a related analytics role
- Deep familiarity with SQL and data visualization tools
- Understanding of modern machine learning techniques (classification, clustering, optimization)
- Experience evaluating model performance, identifying improvement opportunities, and connecting technical results to business outcomes
- Proven ability to tailor analytical solutions to business problems while working with cross-functional partners
- Ability to code and iterate independently in Python, particularly for exploratory data analysis
- Strong written and verbal communication skills, including ability to explain analytical methods, tradeoffs, and recommendations to technical and non-technical audiences
- Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or closely related field
- Experience building or partnering on data pipelines using dbt or Airflow is a plus
