Senior Data Scientist & ML Lead: Personalization at Scale

Capital One; San Jose (CA); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One in San Jose, CA is seeking a Data Scientist to join the Applied AI team, delivering personalized experiences at scale using state‑of‑the‑art ML and large‑scale data processing.

You will collaborate with data scientists, software engineers, and product managers, building models from design to deployment while translating findings into business value using Python, AWS, and Spark. A strong foundation in data analytics and relational databases is required.

Qualifications

• Bachelor’s degree or higher in quantitative field with analytics experience
• Master’s degree in a quantitative field or MBA with quantitative concentration plus 4 years analytics
• PhD in quantitative field plus 1 year analytics
• At least 1 year of experience leveraging open source programming languages for large scale data analysis
• At least 1 year of experience working with machine learning
• At least 1 year of experience utilizing relational databases

Responsibilities

• Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal insights from large datasets
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Translate the complexity of your work into tangible business goals

Skills

Open‑source programming languages

Machine learning

Relational databases

Education

Bachelor's degree (quantitative)

Master's degree (quantitative) or MBA with quantitative concentration

PhD in quantitative field

Tools

Python

Conda

AWS

H2O

Spark

PyTorch

Transformers

Job description

Capital One in San Jose, CA is seeking a Data Scientist to join the Applied AI team, delivering personalized experiences at scale using state‑of‑the‑art ML and large‑scale data processing.

You will collaborate with data scientists, software engineers, and product managers, building models from design to deployment while translating findings into business value using Python, AWS, and Spark. A strong foundation in data analytics and relational databases is required.