Marketing Data Science Manager (Hybrid)

Capital One; New York (NY); Hybrid; USD 215,000 - 246,000; Full time

Job summary

Capital One is seeking a Manager, Data Science for the US Card - Marketing team in New York. You will lead cross-functional data science initiatives, build scalable ML models, and drive business impact across marketing touchpoints.

We value open-source, cloud-based analytics using Python, AWS, Spark, and related tools. This hybrid role offers a competitive salary and opportunities to influence customer acquisition strategies.

Qualifications

• Bachelor's Degree in a quantitative field plus 6 years of data analytics experience.
• Master's Degree in a quantitative field (Statistics/Analytics/CS) or MBA with quantitative concentration plus 4 years of data analytics experience.
• PhD in a quantitative field plus 1 year of data analytics experience.
• 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

• Partner with cross-functional data scientists, software engineers, and product managers to deliver a product customers love.
• Leverage a broad stack — Python, Conda, AWS, H2O, Spark — to analyze huge data volumes.
• Build machine learning models through design, training, evaluation, and implementation.
• Translate complex analyses into tangible business goals for stakeholders.
• Collaborate with campaign managers, analysts, and engineering to ensure measurable business value.

Skills

Python

SQL

Machine Learning

Relational Databases

Education

Bachelor's Degree (Quantitative)

Master's Degree (Quantitative)

PhD (Quantitative)

Tools

AWS

Spark

H2O

XGBoost

scikit-learn

statsmodels

Job description

Capital One is seeking a Manager, Data Science for the US Card - Marketing team in New York. You will lead cross-functional data science initiatives, build scalable ML models, and drive business impact across marketing touchpoints.

We value open-source, cloud-based analytics using Python, AWS, Spark, and related tools. This hybrid role offers a competitive salary and opportunities to influence customer acquisition strategies.