Senior Data Scientist - Embedded Insights - Plaid

Key Responsibilities

• Design, develop, and deploy production‑grade machine learning models that drive embedded financial insights for millions of users.
• Build and maintain robust data pipelines and feature stores using SQL, Python, and AWS services (S3, Redshift, Glue).
• Collaborate with product, engineering, and data teams to translate business problems into analytical solutions and actionable dashboards.
• Perform rigorous statistical analysis, A/B testing, and model validation to ensure high‑quality, bias‑free outcomes.
• Mentor junior data scientists and promote best practices in reproducible research and model governance.

Requirements

• 5+ years of experience in data science or analytics, with a strong focus on machine learning and statistical modeling.
• Proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and SQL for data manipulation and feature engineering.
• Hands‑on experience building scalable data pipelines on AWS (S3, Redshift, Glue, Lambda).
• Excellent communication skills, able to explain complex models to non‑technical stakeholders.
• Passion for financial technology and a track record of delivering data‑driven products at scale.