AI Foundations & Data Science Lead

Capital One; San Jose (CA); On-site; USD 211,000 - 241,000; Full time

Job summary

Capital One in San Jose, CA, seeks a Manager, Data Science - AI Foundations to lead a team building scalable NLP and AI/ML solutions for billions of customer interactions. You will collaborate with product, software, and design teams to deploy models that power the mobile app and digital assistant features.

The ideal candidate has degrees in analytics and strong ML/open source experience, with SQL and Python/Scala/R skills, and a track record delivering models at scale in cloud environments.

Qualifications

• Bachelor's degree in a quantitative field plus 6 years of data analytics experience.
• Master's or MBA with quantitative concentration plus 4 years of data analytics experience.
• PhD in a quantitative field plus 1 year of data analytics experience.
• At least 1 year of experience leveraging open source programming languages for large scale data analytics.
• At least 1 year of experience working with machine learning.
• At least 1 year of experience utilizing relational databases.

Responsibilities

• Partner with cross-functional teams to deliver AI powered products for customer interactions.
• Leverage technologies such as PyTorch, AWS, Hugging Face, LangChain, and VectorDBs to extract insights from large data.
• Serve as NLP expert to develop and fine-tune LLMs for customer-facing applications.
• Build ML and NLP models through design, training, evaluation and deployment in scalable production systems.
• Translate complex work into tangible business goals with strong interpersonal communication.

Skills

Open source languages

Machine learning

Relational databases

Python/Scala/R

SQL

Education

Bachelor's degree + 6 years analytics

Master's degree or MBA with quantitative concentration + 4 years analytics

PhD + 1 year analytics

Job description

Capital One in San Jose, CA, seeks a Manager, Data Science - AI Foundations to lead a team building scalable NLP and AI/ML solutions for billions of customer interactions. You will collaborate with product, software, and design teams to deploy models that power the mobile app and digital assistant features.

The ideal candidate has degrees in analytics and strong ML/open source experience, with SQL and Python/Scala/R skills, and a track record delivering models at scale in cloud environments.