onsite
Principal Associate, Data Scientist - Capital One
Data Scientist
Lead advanced analytics initiatives as a Principal Associate Data Scientist, building machine‑learning models and statistical solutions on large‑scale data platforms using Python, SQL, and cloud services.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade machine learning models that influence credit‑card offers and risk decisions across billions of records.
- Collaborate with product, engineering, and business stakeholders to translate complex business problems into data‑driven solutions.
- Build and maintain scalable data pipelines and analytical workflows on cloud platforms such as AWS.
- Perform advanced statistical analysis and experimentation to validate model performance and drive continuous improvement.
- Mentor junior data scientists and contribute to best‑practice standards for code quality, reproducibility, and model governance.
Requirements
- 5+ years of professional experience in data science, machine learning, or quantitative analytics.
- Proficiency in Python (pandas, scikit‑learn, PySpark) and strong SQL skills for data extraction and manipulation.
- Hands‑on experience with cloud services (AWS S3, EC2, SageMaker, Redshift) and big‑data technologies.
- Demonstrated ability to develop, evaluate, and operationalize statistical models and machine‑learning algorithms.
- Excellent communication skills and a track record of influencing cross‑functional teams with data‑driven insights.
Skills
pythonsqlmachine learningaws