Manager, Data Scientist, Travel Intelligence, Flights

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA · New York, NY
Salary
$197,300–$225,100 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $155k
This role $211k
$84k most similar roles pay here $240k

This role pays more than 87% of similar roles. Most pay $126,800–$182,875 — the shaded band above. At the midpoint, this role pays about $211k versus about $155k 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 573 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 569 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

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

As a Manager of Data Science within the Travel Intelligence team at Capital One, focusing on flights, you will lead the technical strategy for developing in-house machine learning solutions that enhance customer experiences and drive business growth. Your day-to-day responsibilities include creating new fintech products, optimizing fare pricing algorithms, and improving flight sorting mechanisms using extensive historical and real-time data sets. Ideal candidates are customer-centric, innovative thinkers with a strong background in big data analytics and machine learning. Proficiency in Python, SQL, and experience with cloud platforms like AWS or Azure is essential, along with expertise in statistical modeling and data visualization tools such as Tableau. This role demands a deep understanding of the travel industry to solve complex business problems at scale.

What you'll do

  • Develop and implement machine learning models for optimizing flight fare pricing.
  • Analyze large datasets to identify trends and insights in the flights domain.
  • Create personalized travel experiences by leveraging customer data and preferences.
  • Lead technical strategy for building robust, in-house machine learning solutions.
  • Collaborate on new fintech products that enhance the travel booking process.

What we're looking for

  • At least 5 years of experience in machine learning and data science.
  • Proven track record of building robust, end-to-end technical strategies for fintech products.
  • Expertise in handling large datasets and extracting meaningful insights from them.
  • Strong background in optimizing fare pricing and flight sorting algorithms.
  • Experience in creating personalized customer experiences through intelligent data analysis.

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