Manager, Data Scientist

About the Role

The Data Scientist role within the Travel Intelligence team is a high-impact position dedicated to building the "intelligent core" of Capital One Travel. This role focuses on the Hotels domain, owning the end-to-end technical strategy for Search & Sort and Pricing Optimization. The team operates in a "green-field" environment, transitioning from offline, historical data models to sophisticated, real-time Machine Learning solutions. This opportunity allows for applying the 80:20 rule, focusing on pragmatic, high-impact wins while building the business case and technical roadmap for the future of ML.

Key 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, including Python, Conda, AWS, H2O, and Spark, to reveal insights from large volumes of numeric and textual data.
• Build machine learning models through all phases of development: design, training, evaluation, validation, and implementation.
• Translate the complexity of work into tangible business goals.

Requirements & Tech Stack

• Experience leveraging open source programming languages for large scale data analysis.
• Experience working with machine learning.
• Experience utilizing relational databases.
• Python, Conda, AWS, H2O, Spark.

Qualifications

• Basic Qualifications:
• Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics.
• Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics.
• PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data 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.
• Preferred Qualifications:
• PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics.
• At least 1 year of experience working with AWS.
• At least 5 years’ experience in Python, Scala, or R for large scale data analysis.
• At least 5 years’ experience with machine learning.