Lead Data Science Manager, Consumer Identity ML

Hobbsnews; San Jose (CA); On-site; USD 215,200 - 245,600; Full time

Job summary

Capital One is seeking a Manager, Data Science - Consumer Identity Machine Learning to lead real‑time modelling that personalises experiences for millions of customers. You will build scalable data platforms, experiment with cross‑functional teams and translate analytics into actionable customer outcomes.

You will work with Python, Spark and open‑source tools, guiding model development from design to production while collaborating with product and engineering teams across the company.

Qualifications

• Bachelor’s in a quantitative field plus 6 years analytics experience.
• Master’s in a quantitative field or MBA with a quantitative concentration plus 4 years analytics.
• PhD in a 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

• Explore billions of click‑stream events to discover patterns in customer behaviour and use those patterns to model key customer outcomes.
• Develop real‑time models that use vast amounts of customer data to anticipate customers’ needs and deliver the right options at the right time.
• Develop models that ensure our most important customer data is accurate, fighting fraud and other bad behaviour while enabling seamless digital experiences across all our products.
• Build machine‑learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to improve operationalisation in scalable and resilient production systems that serve 50+ million customers.
• Partner closely with a variety of business and product teams across Capital One to conduct the experiments that guide improvements to customer experiences and business outcomes in domains such as marketing, servicing and fraud prevention.
• Write software (Python, etc.) to collect, explore, visualise and analyse numerical and textual data using tools like Spark.

Skills

Innovative

Creative

Technical

Statistically-minded

Data guru

Education

Bachelor’s degree in a quantitative field

Master’s degree in a quantitative field or MBA with quantitative concentration

PhD in a quantitative field

Tools

Python

Spark

SQL

AWS

Job description

Capital One is seeking a Manager, Data Science - Consumer Identity Machine Learning to lead real‑time modelling that personalises experiences for millions of customers. You will build scalable data platforms, experiment with cross‑functional teams and translate analytics into actionable customer outcomes.

You will work with Python, Spark and open‑source tools, guiding model development from design to production while collaborating with product and engineering teams across the company.