onsite
Senior Data Scientist - Embedded Insights - Plaid
Data Scientist
Lead advanced analytics for embedded financial insights, building scalable ML models and data pipelines in Python on AWS to empower developers and improve user financial health.
About the role
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.
Skills
pythonmachine learningsqlaws