Data Science Lead - ML, Production & Impact

Capital One Group; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One seeks a Manager, Data Science to lead data-driven projects across billions of customer records, applying ML and statistical techniques in a cloud-based environment. You will collaborate with data scientists, engineers, and product managers to deliver customer-centric analytics products.

You will work with Python, AWS, H2O, Spark and PyTorch, driving model development from concept to production and communicating results to non-technical stakeholders.

Qualifications

• Bachelor's, Master's, or PhD in a quantitative field or related MBA with quantitative concentration
• Experience with open source tools and modern cloud computing platforms
• Experience with machine learning and working with large-scale data analytics

Responsibilities

• Partner with cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage Python, AWS, H2O, Spark to analyze large datasets and extract insights
• Build ML models from design through training, evaluation, validation and implementation
• Translate complex technical work into tangible business goals

Skills

Python

AWS

Spark

H2O

Conda

Machine Learning

Open Source Tools

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

PyTorch

DASK

PySpark

Kubeflow

Job description

Capital One seeks a Manager, Data Science to lead data-driven projects across billions of customer records, applying ML and statistical techniques in a cloud-based environment. You will collaborate with data scientists, engineers, and product managers to deliver customer-centric analytics products.

You will work with Python, AWS, H2O, Spark and PyTorch, driving model development from concept to production and communicating results to non-technical stakeholders.