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Plaid is looking to improve how millions of users understand and grow their financial lives by building data insights and models. The Data team aims to drive business impact and production directions through data analysis and potentially improve ML solutions and systems.

Requirements

• Deep familiarity with SQL and data visualization tools
• Experiencing conducting large-scale A/B experiments, analyzing results, and translating them into concrete recommendations
• Familiarity with the AWS stack
• Understanding of modern machine learning (ML) techniques, such as classification, clustering, optimization, deep neural network, and natural language processing
• Ability to code and iterate independently in Python to conduct exploratory data analysis
• Experience building data pipelines in DBT or Airflow is a plus

Responsibilities

• Applying your expertise in quantitative analysis, data mining, and data visualization to find insights for improving our API products
• Conducting large-scale A/B experiments
• Identifying useful signals that can be fed into machine learning models.
• Informing and influencing product and engineering teams through your data analysis and presentations
• Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid
• Championing a data-first approach toward decision-making across the entire organization.

Other

• 5+ years of industry experience in a product-focused Data Science role
• Proven ability to tailor your solutions to business problems in a cross-functional team
• Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field
• We value not only technical know-how, but also creativity, user empathy, and teamwork.
• We encourage you to apply to a role even if your experience doesn't fully match the job description.