Senior Data Scientist (Embedded Insights)

• You will be the first Data Scientist on the Embedded Insights team, part of Plaid’s Data organization. You will establish the analytics and metrics backbone for a team supporting a diverse set of internal and external products
• You will help drive better decision-making, support machine learning model development, and contribute directly to the health of the Plaid network and the quality of Plaid’s products
• Analyzing entities across the Plaid network to understand behavior and identify opportunities, anomalies, and risks
• Creating foundational metrics, dashboards, and monitoring systems that provide a clear view of network health and machine learning model performance
• Evaluating the value and performance of machine learning models using customer and internal data
• Identifying opportunities to improve existing models and translating findings into clear, actionable narratives for product and engineering leaders
• Designing experiments, defining success metrics and guardrails, analyzing results, and communicating recommendations to stakeholders
• Analyzing Plaid product and customer data to identify opportunities for product improvement and expansion
• Partnering with cross-functional teams to build reliable data models and analytics workflows

Benefits

• Vibrant offices in SF, NYC, and Raleigh-Durham—with catered meals, happy hours, and clubs to keep you connected
• Competitive pay, comprehensive health benefits, and support for fertility, mental health, and parental leave
• Lifestyle perks including home office stipends, daycare support, and commuting benefits like CitiBike and Lyft- 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