Senior Data Science Leader, Bureau Data Strategy

Capital One; New York (NY); On-site; USD 251,000 - 286,000; Full time

Job summary

Capital One is seeking a Sr Mgr, Data Science in New York to lead a data science team focused on credit bureau data in underwriting. You will partner with data scientists, engineers, and product managers to deliver data-driven products at scale, leveraging Python, Spark, AWS, and H2O to unlock insights across billions of records.

The ideal candidate has 2+ years in ML, 2+ years with open-source languages, and strong relational database experience, with sponsorship for eligible applicants.

Qualifications

• Bachelor’s degree in a quantitative field plus 7 years of data analytics experience
• Master’s degree in a quantitative field or MBA with quantitative concentration plus 5 years of data analytics experience
• PhD in a quantitative field plus 2 years of data analytics experience
• At least 2 years of experience leveraging open-source programming languages for large-scale data analysis
• At least 2 years of experience working with machine learning
• At least 2 years of experience utilizing relational databases

Responsibilities

• Partner with cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Develop and deploy machine learning models through all development phases: design, training, evaluation, validation, implementation
• Work with large volumes of numeric and textual data using Python, Spark, and cloud platforms
• Translate complex technical findings into clear business goals and decisions

Skills

Python/Scala/R

Machine learning

Relational databases

Education

Bachelor’s Degree in quantitative field

Master’s Degree in quantitative field or MBA with quantitative concentration

PhD in quantitative field

Tools

AWS

Spark

H2O

Conda

Job description

Capital One is seeking a Sr Mgr, Data Science in New York to lead a data science team focused on credit bureau data in underwriting. You will partner with data scientists, engineers, and product managers to deliver data-driven products at scale, leveraging Python, Spark, AWS, and H2O to unlock insights across billions of records.

The ideal candidate has 2+ years in ML, 2+ years with open-source languages, and strong relational database experience, with sponsorship for eligible applicants.