Principal Associate, Data Scientist - SBB Marketing & Deposit Strategy

Principal Associate, Data Scientist - SBB Marketing & Deposit Strategy

About Capital One

Data is at the center of everything we do. As a startup, Capital One disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988. This innovation and passion for data has grown the company to a Fortune 200 company and a leader in data-driven decision-making.

As a Data Scientist at Capital One, you'll be part of a team leading the next wave of disruption using the latest computing and machine learning technologies, operating across billions of customer records to unlock opportunities that help everyday people save money, time and agony in their financial lives.

About the Team

Small businesses make up 99% of U.S. firms and drive 44% of the nation's GDP. At Small Business Bank (SBB), the mission is to advocate for entrepreneurs and empower their long-term success. The SBB Data Science team brings relentless focus to the craft of data science—spanning statistics, machine learning, and emerging AI technologies. The team partners across the organization to optimize the performance and impact of financial products, policies, and services delivered to customers.

Responsibilities

In this role, you will:

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver products 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
• Develop modeling solutions and conduct analyses to drive customer engagement, improve retention, and elevate overall customer experience

The Ideal Candidate

Technical. You're comfortable with open-source languages and passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

Statistically-minded. You've built models, validated them, and back tested them. You know how to interpret a confusion matrix or ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You understand that understanding the data is often the key to great data science.

Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

Basic Qualifications

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

• A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
• A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
• A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

Preferred Qualifications

• Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)
• At least 3 years' experience with machine learning and statistical modeling
• At least 3 years' experience in Python, Dask, Spark, etc.
• At least 3 years' experience with SQL
• At least 1 year of experience working with AWS
• At least 1 year of experience with deep learning/emerging AI (e.g. graphs, embeddings, sequence models, or transformer models)

Sponsorship

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

Compensation

McLean, VA: $161,800 - $184,600 for Principal Associate, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. Learn more at the Capital One Careers website.

Application Information

This role is expected to accept applications for a minimum of 5 business days. No agencies please.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.

If you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.

Equal Opportunity

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace.

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).