Principal Data Scientist, Hybrid - Alternative Data Strategy

Capital One; New York (NY); Hybrid; USD 177,000 - 201,000; Full time

Job summary

Capital One seeks a Principal Associate, Data Scientist in New York to advance its Alternative Data Strategy. You’ll evaluate datasets, engineer features, and build scalable ML systems across large datasets to improve credit decisions.

Collaborate with data scientists, engineers, and product managers using Python, AWS, Spark, and H2O. You’ll develop models from design through training, evaluation and deployment, translating technical work into business value in a hybrid work setting.

Qualifications

• Bachelor's degree in a quantitative field plus analytics experience.
• Master's degree or MBA with quantitative focus plus analytics experience.
• PhD in a quantitative field may substitute for work experience.

Responsibilities

• Partner with cross‑functional teams to deliver data products customers love.
• Leverage Python, AWS, Spark, and related tools to extract insights from large data sets.
• Build ML models through design, training, evaluation, validation, and deployment.
• Translate complex modelling work into tangible business outcomes in a hybrid setting.

Skills

Python

Conda

AWS

H2O

Spark

Machine learning

SQL

Education

Bachelor's degree

Master's degree

PhD

Job description

Capital One seeks a Principal Associate, Data Scientist in New York to advance its Alternative Data Strategy. You’ll evaluate datasets, engineer features, and build scalable ML systems across large datasets to improve credit decisions.

Collaborate with data scientists, engineers, and product managers using Python, AWS, Spark, and H2O. You’ll develop models from design through training, evaluation and deployment, translating technical work into business value in a hybrid work setting.