Senior Director, Data Scientist

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Riverwoods, ILMcLean, VAChicago, ILNew York, NY
Salary: $314,800–$359,300 / yr
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $210k

This role $337k

$148k most similar roles pay here $382k

This role pays more than 98% of similar roles. Most pay $173,125–$247,500 — the shaded band above. At the midpoint, this role pays about $337k versus about $210k 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 1756 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 961 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Director, Data Scientist

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Senior Director, Data Scientist - Global Payment Network joins the Global Payment Network team to lead data-driven decision-making initiatives. This role involves partnering with cross-functional teams of data scientists, software engineers, and product managers to deliver products that solve complex problems for customers. The individual will build machine learning models through all phases of development, including design, training, evaluation, validation, and implementation. To uncover insights within large volumes of numeric and textual data, the role utilizes a technology stack featuring Python, Conda, AWS, H2O, Spark, and relational databases. Candidates must possess expertise in open-source programming languages, machine learning techniques such as clustering, classification, sentiment analysis, time series, and deep learning. The work focuses on leveraging advanced computing to analyze massive datasets and translate complex technical findings into tangible business goals within the payment network domain.

Skills

Python AWS H2O Spark Conda Machine Learning Relational Databases Scala R Deep Learning Sentiment Analysis Time Series Clustering Classification Big Data Data Analytics

What you'll do

Build machine learning models through all phases of development including design, training, evaluation, validation, and implementation.
Use a broad stack of technologies like Python, AWS, H2O, and Spark to extract insights from large volumes of data.
Translate complex technical work into tangible business goals for stakeholders.
Research and evaluate emerging technologies and state-of-the-art methods to improve current systems.
Define and solve large, ambiguous problems by asking critical questions and seeking innovative solutions.
Manage and develop the talent of your team members.
Retrieve, combine, and analyze data from various sources and structures to inform decision-making.

What we're looking for

Bachelor’s Degree plus 10 years of experience in data analytics, or Master’s Degree plus 8 years, or PhD plus 5 years.
At least 4 years of experience in open source programming languages for large scale data analysis.
At least 4 years of experience with machine learning.
At least 4 years of experience with relational databases.
PhD in a STEM field (preferred).
At least 1 year of experience working with AWS (preferred).
At least 5 years of experience managing people (preferred).
At least 5 years of experience in Python, Scala, or R for large scale data analysis (preferred).

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