Senior Data Scientist - (Payment Risk/Fraud) Embedded Insights

Responsibilities

• Applying your expertise in quantitative analysis, data mining, and data visualization to keep the Plaid network safe and improve our product suite.
• 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.

Qualifications

• 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.
• Experience with Payment Risk, Fraud or Trust & Safety.
• Deep familiarity with SQL and data visualization tools.
• Understanding of modern machine learning techniques, such as classification, clustering, optimization.
• Proven ability to tailor your solutions to business problems in a cross-functional team.
• Able to code and iterate independently in Python to conduct exploratory data analysis.
• Experience building data pipelines in DBT or Airflow is a plus.