Manager, Data Science - Consumer and Developer Experience (Remote-Eligible)

Capital One; Richmond (VA); Remote; USD 179,000 - 205,000; Full time

Benefits offered by this job

Remote-friendly

Performance incentives

Job summary

Capital One is seeking a Data Science Manager in Richmond, VA to lead CDX data science initiatives, partnering with engineers, analysts, and product managers to deliver data-driven experiences for millions of customers.

You will build ML models end-to-end using Python, Spark, and cloud tools, translate complex analytics into business outcomes, and mentor a team through strategy and hands-on development. Remote options may apply.

Qualifications

• Bachelor's degree in a quantitative field plus 6 years of analytics experience
• Master's degree in a quantitative field or MBA with quantitative concentration plus 4 years of analytics experience
• PhD in a quantitative field plus 1 year of analytics experience

Responsibilities

• Partner with cross-functional teams to deliver products customers love and move the business needle
• Leverage Python, Conda, AWS, H2O, Spark to reveal insights from large data
• Build machine learning models through all development phases, from design to implementation
• Translate complex technical work into tangible business goals and results

Skills

Python

SQL

Machine learning

Scala

R

Open source

AWS

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field or MBA with quantitative concentration

PhD in quantitative field

Tools

Spark

H2O

Conda

Relational databases

Job description

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

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

Team Description

At Capital One, we are relentless innovators with a proven track record of transforming customers’ experiences and the financial services industry. We’re delivering best-in-class innovation so that our more than 100 million customers can manage their finances with ease.

We consider ourselves the bank a technology company would build – empowered to use artificial intelligence (from machine learning to generative AI) to transform everyday banking into real-time, intelligent products that help customers improve their financial well-being. We’re all‑in on the cloud and are a leader in the adoption of open source. We build our own products and release them with a speed and agility that allows us to get new customer experiences to market quickly. We’re going boldly where no bank has gone before. And, as a founder‑led company, we are centered in our mission to help customers succeed.

The Role | General Responsibilities

We’re seeking a Data Science Manager to support strategic priorities for Consumer and Developer Experience (CDX) leaders, as part of CDX’s product strategy team. CDX is an exciting space with diverse product responsibilities. The organization’s remit spans customer digital engagement, including the Capital One app; Capital One’s marketing platform, analytics, and personalization engine; the product suite used to manage all Capital One suppliers and vendors; products associated with the company’s risk management responsibilities; and more.

CDX’s product strategy team is a blend of strategy, product, and data science. We tackle the organization’s hardest strategic and analytical questions, delivering answers that fundamentally change the way we do business. We also act as an innovation lab, developing prototypes and partnering closely with product and engineering teams to translate conceptual visions into tangible, scaled digital experiences. We are looking for someone who thrives in this duality – someone who is equally energized by big-picture questions about where the world is going, thorny problems that require a strategic mindset and deep analytical rigor, and hands‑on building.

In this role, you will:

• Partner with a cross-functional team of software engineers, business analysts, and product managers to ensure we are delivering products customers love that move the needle for the business
• Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the 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
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

• Customer first. You love the process of analyzing and creating, but also 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. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
• Technical. You’re comfortable with open-source languages and are 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 backtested them. You know how to interpret a confusion matrix or a 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 know understanding the data is often the key to great data science.

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 6 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 4 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) 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

Preferred Qualifications

• PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
• At least 1 year of experience working with AWS
• At least 4 years’ experience in Python, Scala, or R for large scale data analysis
• At least 4 years’ experience with machine learning
• At least 4 years’ experience with SQL

Capital One is open to hiring a Remote Employee for this opportunity.

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 below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part‑time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

• Remote (Regardless of Location): $179,400 - $204,700 for Mgr, Data Science
• Chicago, IL: $179,400 - $204,700 for Mgr, Data Science
• McLean, VA: $197,300 - $225,100 for Mgr, Data Science
• New York, NY: $215,200 - $245,600 for Mgr, Data Science
• Richmond, VA: $179,400 - $204,700 for Mgr, Data Science
• Riverwoods, IL: $179,400 - $204,700 for Mgr, Data Science
• San Francisco, CA: $215,200 - $245,600 for Mgr, Data Science

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.

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

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. 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.