Hybrid Data Science Manager - Marketing & Growth

Capital One; Cambridge (MA); Hybride; USD 197 000 - 225 000; Plein temps

Résumé du poste

Capital One is seeking a Manager of Data Science for US Card - Marketing in Cambridge, MA. You will lead the development of predictive models and reinforcement learning solutions to optimize customer acquisition across channels, collaborating with data scientists, software engineers, and product managers.

The role requires strong open-source skills in Python and SQL, cloud experience with AWS, and a track record of delivering business value.

Qualifications

• Bachelor’s degree in a quantitative field plus 6 years analytics
• Master’s degree 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

Responsabilités

• 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 insights from huge data volumes
• Build machine learning models through all phases of development — design, training, evaluation, validation, and implementation
• Translate the complexity of your work into tangible business goals

Connaissances

Python

Scala

R

Machine Learning

SQL

AWS

Relational databases

Formation

Bachelor’s degree in a quantitative field

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

PhD in a quantitative field

Outils

XGBoost

scikit-learn

statsmodels

Description du poste

Capital One is seeking a Manager of Data Science for US Card - Marketing in Cambridge, MA. You will lead the development of predictive models and reinforcement learning solutions to optimize customer acquisition across channels, collaborating with data scientists, software engineers, and product managers.

The role requires strong open-source skills in Python and SQL, cloud experience with AWS, and a track record of delivering business value.