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Senior Data Scientist - Network Value - Plaid
Data Scientist
Lead advanced analytics for financial network data, building scalable ML models and data pipelines to uncover value insights across millions of users, leveraging Python, SQL, and AWS services.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade machine learning models that analyze network interactions and predict user value.
- Build and maintain robust data pipelines using SQL and Python to ingest, clean, and transform large financial datasets.
- Collaborate with cross‑functional teams to define metrics, experiment designs, and interpret results for product and engineering stakeholders.
- Optimize model performance and scalability on AWS infrastructure, ensuring high availability and low latency.
- Mentor junior data scientists and promote best practices in reproducible research and model governance.
Requirements
- 5+ years of experience in data science or analytics within a high‑growth tech environment.
- Strong proficiency in Python, SQL, and experience with ML libraries such as scikit‑learn, TensorFlow, or PyTorch.
- Hands‑on experience building data pipelines and deploying models on AWS (S3, Redshift, SageMaker).
- Excellent communication skills and ability to translate complex findings into actionable insights.
- Experience with large‑scale financial or network data is a plus.
Skills
pythonmachine learningsqlaws