Senior Manager, Data Scientist - Travel Intelligence, Hotels

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$229,900–$262,400 / yr
Posted
4 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $172k
This role $246k
$108k most similar roles pay here $279k

This role pays more than 93% of similar roles. Most pay $129,875–$213,656 — the shaded band above. At the midpoint, this role pays about $246k versus about $172k 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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

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

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As a Senior Manager of Data Science on Capital One Travel's Travel Intelligence team, you will lead the Hotels domain by developing and implementing advanced machine learning solutions for Search & Sort and Pricing Optimization. This role involves partnering with cross-functional teams to define key metrics and architect systems that enhance customer experiences through real-time data analysis. You will leverage a robust technology stack including Python, Conda, AWS, H2O, Spark, and more to build and deploy sophisticated models from design to implementation. Ideal candidates are experienced in large-scale data analytics, machine learning, and relational databases, with a preference for expertise in Python or R, AWS, and five years of hands-on experience in the field. This role offers an opportunity to drive impactful changes while shaping the future of ML at Capital One Travel.

Skills

Python AWS H2O Spark Conda Machine Learning Relational Databases CI/CD

What you'll do

  • Own end-to-end technical strategy for Search & Sort and Pricing Optimization in Hotels domain.
  • Build machine learning models through all phases, from design to implementation.
  • Define key metrics like MOB and Reference Price coverage with Product and Engineering teams.
  • Translate complex data insights into tangible business goals and objectives.
  • Partner closely with cross-functional teams to deliver customer-centric solutions.

What we're looking for

  • Bachelor's Degree in a quantitative field plus 7 years of data analytics experience or equivalent
  • Master's Degree in a quantitative field plus 5 years of data analytics experience or equivalent
  • PhD in a quantitative field plus 2 years of data analytics experience or equivalent
  • At least 2 years of experience with machine learning and relational databases
  • Strong skills in Python, Scala, R, AWS, and other relevant technologies
  • Ability to partner closely with Product and Engineering teams
  • Experience translating complex technical work into business goals

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