Data Scientist - Payments

• 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

• 3+ years of industry experience in a product-focused Data Science role
• 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
• Proven ability to tailor your solutions to business problems in a cross-functional team
• Ability to code and iterate independently in Python to conduct exploratory data analysis
• Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field

Experience building data pipelines in DBT or Airflow is a plus

• medical
• dental
• vision
• 401(k)
• equity
• commission