Manager, Data Scientist, Travel Intelligence, Hotels

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VANew York, NY
Salary: $197,300–$225,100 / yr
Posted: 9 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $168k

This role $211k

$106k most similar roles pay here $238k

This role pays more than 77% of similar roles. Most pay $126,800–$209,550 — the shaded band above. At the midpoint, this role pays about $211k versus about $168k 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 802 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 795 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

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

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As a Manager of Data Science in the Travel Intelligence team at Capital One, you will lead the Hotels domain by developing and implementing advanced Machine Learning solutions for Search & Sort and Pricing Optimization. Your role involves defining key performance metrics such as MOB and Reference Price coverage while collaborating closely with Product and Engineering teams to ensure seamless customer experiences. You will work in a dynamic "green-field" environment, transitioning from historical data models to real-time analytics, focusing on pragmatic wins that drive immediate impact while laying the groundwork for future innovations. Ideal candidates are customer-centric, creative problem solvers who excel in handling big data and possess strong technical skills in Machine Learning and data analysis.

Skills

Python SQL Machine Learning Docker Kubernetes AWS CI/CD PostgreSQL Redis Scikit-learn TensorFlow Pandas Jupyter Notebook Git Spark Hadoop Prometheus Grafana

What you'll do

Define and execute the technical strategy for Search & Sort and Pricing Optimization in Hotels.
Develop real-time Machine Learning solutions to enhance customer experiences.
Partner with Product and Engineering teams to establish key performance metrics.
Architect systems that influence what customers see and pay during their hotel search.
Build a business case and roadmap for future ML advancements within the Hotels domain.

What we're looking for

At least 5 years of experience in machine learning and data science.
Proven track record in developing real-time ML solutions for complex problems.
Strong background in statistical analysis and big data processing.
Experience in defining key performance metrics and technical roadmaps.
Excellent collaboration skills with product and engineering teams.

Hybrid

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Manager, Data Science

Zillow

Remote (US) 12 days ago $160,500–$256,500

Python SQL A/B testing Causal inference Funnel optimization Consumer behavior modeling Databricks Snowflake Airflow dbt CI/CD Kubernetes Terraform PostgreSQL AWS Google Cloud Platform Azure Git Jupyter Notebook Scikit-learn Pandas Prometheus Grafana

Remote

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