Senior Data Scientist

Responsibilities

• Apply expertise in quantitative analysis, data mining, and data visualization to keep the Plaid network safe and improve the product suite
• Inform and influence product and engineering teams through data analysis and presentations
• Make long-term data science roadmap decisions on how machine learning and data science iteration should be done at Plaid
• Champion a data-first approach toward decision-making across the organization
• Analyze entities across the Plaid network to understand behavior patterns and develop metrics and monitoring systems that identify anomalies and emerging risks
• Create dashboards and reporting frameworks that provide visibility into machine learning model performance
• Evaluate the impact and value of ML models on customer and internal datasets
• Translate complex analyses into compelling, actionable narratives for technical and business stakeholders
• Design and analyze experiments and communicate findings across teams
• Use data-driven insights to uncover opportunities to improve existing products and expand Plaid’s offerings

Requirements

• 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
• Deep familiarity with SQL and data visualization tools
• Understanding of modern machine learning techniques such as classification, clustering, optimization
• Proven ability to tailor solutions to business problems in a cross-functional team
• Ability to code and iterate independently in Python to conduct exploratory data analysis

Nice-to-Haves

• Experience building data pipelines in DBT or Airflow