Lead Data Scientist – Card Customer Insights & Growth

Capital One; Cambridge (MA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One in Cambridge, MA is seeking a Data Scientist to drive data-driven decision making across billions of records, applying statistical modeling and ML to customer management. You will collaborate with engineers, product managers, and analysts, using Python, AWS, Spark and other open-source tools, from design to deployment, translating insights into business impact.

This role offers exposure to real-time predictions and valuation forecasts, with a pathway for growth within a Fortune 200

Qualifications

• 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
• Education qualifications as per basic qualifications in the posting

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 the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Skills

Machine learning

Open-source languages

Relational databases

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

Conda

AWS

H2O

Spark

Job description

Capital One in Cambridge, MA is seeking a Data Scientist to drive data-driven decision making across billions of records, applying statistical modeling and ML to customer management. You will collaborate with engineers, product managers, and analysts, using Python, AWS, Spark and other open-source tools, from design to deployment, translating insights into business impact.

This role offers exposure to real-time predictions and valuation forecasts, with a pathway for growth within a Fortune 200