Manager, Data Scientist, Travel Intelligence, Hotels

Capital One Financial

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
McLean, VANew York, NY
Salary
$197,300–$225,100 / yr
Posted
21 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $211k
$131k most similar roles pay here $235k

This role pays more than 69% of similar roles. Most pay $140,975–$219,650 — the shaded band above. At the midpoint, this role pays about $211k versus about $180k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Manager, Data Scientist, Travel Intelligence, Hotels

Manager, Data Scientist, Travel Intelligence, Hotels joins the Travel Intelligence team to build the intelligent core of Capital One Travel. This role focuses on the hotels domain, where you will own the end-to-end technical strategy for Search & Sort and Pricing Optimization. You will transition offline historical data models into sophisticated, real-time machine learning solutions while partnering with product and engineering teams to define key metrics like MOB and Reference Price coverage. To uncover insights within large volumes of numeric and textual data, you will utilize a technology stack including Python, Conda, AWS, H2O, and Spark. You will build machine learning models through all phases of development, from design and training to evaluation and implementation. The role addresses the challenge of transforming vast amounts of travel data into personalized experiences for customers.

What you'll do

  • Own the end-to-end technical strategy for Search & Sort and Pricing Optimization within the Hotels domain.
  • Develop machine learning models through all phases of development, including design, training, evaluation, validation, and implementation.
  • Analyze large volumes of numeric and textual data using Python, Spark, H2O, and other technologies to uncover insights.
  • Partner with Product and Engineering teams to define key metrics and architect systems for customer pricing and visibility.
  • Translate complex technical findings into tangible business goals and actionable strategies for stakeholders.
  • Manage the transition from offline historical data models to sophisticated, real-time machine learning solutions.
  • Retrieve, combine, and analyze data from diverse sources and structures to inform data science initiatives.

What we're looking for

  • A Bachelor's degree in a quantitative field plus 6 years of experience performing data analytics.
  • A Master's degree in a quantitative field or an MBA with a quantitative concentration plus 4 years of experience performing data analytics.
  • A PhD in a 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.
  • At least 5 years of experience in Python, Scala, or R for large scale data analysis.
  • At least 1 year of experience working with AWS.

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