Manager, Data Scientist - Credit Line Increase Program

Manager, Data Scientist - Credit Line Increase Program

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by personally tailoring every credit card offer using statistical modeling and relational databases. Fast forward a few years, and this innovation and our passion for data have grown us into a Fortune 200 company and a leader in data‑driven decision‑making.

As a Data Scientist at Capital One, you will be part of a team that leads the next wave of disruption on a new scale, using the latest computing and machine learning technologies to unlock opportunities that help people save money, time, and frustration.

The Upmarket CLIP seeks to provide an optimal credit line to high‑value customers through proactive, reactive and interactive strategies. The valuations team builds industry‑leading machine learning models to empower data‑driven business decisions. Data scientists and business analysts collaborate on the full model lifecycle: development, deployment, monitoring and governance.

In this role, you will:

• Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies – Python, Conda, AWS, H2O, Spark, and more – to reveal insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Translate the complexity of your work into tangible business goals

The Ideal Candidate is:

• Customer first – you love the process of analyzing and creating and share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
• Innovative – you continually research and evaluate emerging technologies and seek opportunities to apply them.
• A leader – you challenge conventional thinking and collaborate with stakeholders to improve the status quo. You’re passionate about talent development for your team and beyond.
• Technical – comfortable with open‑source languages and passionate about developing further.
• Statistically minded – you’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve and have experience with clustering, classification, sentiment analysis, time series, and deep learning.
• A data guru – “big data” doesn’t faze you. You can retrieve, combine, and analyze data from multiple sources and structures.

• Currently has, or is in the process of obtaining one of the following qualifications, with the expectation that the degree will be obtained on or before the scheduled start date:
  • Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field) plus 6 years of experience performing data analytics
  • Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
  • PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related 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

• PhD in a STEM field plus 3 years of experience in data analytics
• At least 1 year of experience working with AWS
• At least 4 years of experience in Python, Scala, or R for large‑scale data analysis
• At least 4 years of experience with machine learning
• At least 4 years of experience with SQL

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full‑time annual salaries for this role are listed by location. Salaries for part‑time roles will be prorated based on hours…