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Senior Data Scientist (Embedded Insights)

Plaid

Skills

Required

  • analytics
  • data pipelines
  • dbt / Airflow
  • modern machine learning
  • classification
  • clustering
  • optimization
  • SQL
  • data visualization tools
  • Python

Preferred

  • machine learning model development

Join Plaid as a Senior Data Scientist on the Embedded Insights team. You will establish the analytics and metrics backbone for a diverse set of internal and external products, drive better decision-making, support machine learning model development, and contribute to the health of the Plaid network and the quality of Plaid’s products. You will analyze entities across the Plaid network, create foundational metrics and dashboards, evaluate machine learning model performance, design experiments, and partner with cross-functional teams.

Responsibilities

  • Establish the analytics and metrics backbone for the Embedded Insights team, supporting internal and external products.
  • Drive better decision-making, support machine learning model development, and contribute to the health of the Plaid network.
  • Analyze entities across the Plaid network to understand behavior and identify opportunities, anomalies, and risks.

Requirements

  • Experience building or partnering on data pipelines using dbt or Airflow is a plus
  • Bachelor’s degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field
  • Proven ability to tailor analytical solutions to business problems while working with cross-functional partners
  • Understanding of modern machine learning techniques, such as classification, clustering, and optimization

Deep familiarity with SQL and data visualization tools

  • Strong written and verbal communication skills, including the ability to explain analytical methods, tradeoffs, and recommendations to technical and non-technical audiences
  • Experience evaluating model performance, identifying opportunities for improvement, and connecting technical results to business outcomes
  • Ability to code and iterate independently in Python, particularly for exploratory data analysis
  • 6+ years of industry experience in Data Science or a related analytics role