Manager, Data Scientist - Recommendation & Personalization Systems

Capital One; McLean (VA); On-site; USD 197,300 - 225,100; Full time

Benefits offered by this job

Comprehensive health benefits

Performance-based incentives

Inclusive workplace environment

Job summary

Capital One is seeking a Manager, Data Scientist for its elite Applied AI team in McLean, VA. This role entails pioneering personalized customer experiences utilizing advanced ML models, with significant real-world impact.

The ideal candidate will possess a degree in a quantitative field, experience in data analytics, and proficiency in machine learning with strong technical skills in Python, AWS, and various data science frameworks. Competitive compensation including salary range of $197,300 - $225,100 annually is offered.

Qualifications

• Experience performing data analytics (6+ years for Bachelor's, 4+ years for Master's, 1+ year for PhD).
• Experience with open source programming for large scale data analysis.
• Experience working with machine learning.

Responsibilities

• Partner with teams to deliver customer-loved products.
• Analyze large volumes of data using diverse technologies.
• Build and implement machine learning models.

Skills

Data analytics

Machine learning

Python

AWS

Statistics

Deep Learning

Transformer-based architectures

Education

Bachelor's Degree in Statistics, Computer Science, or related field

PhD in a quantitative field

Tools

H2O

Spark

PyTorch

DASK

PySpark

Job description

Manager, Data Scientist - Recommendation & Personalization Systems

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

Join an elite Applied AI team within AI Foundations, operating at the intersection of deep research and massive real‑world impact. We are pioneering the next generation of personalized customer experiences across Capital One's web and mobile applications, leveraging our high‑scale ML models. Our core mission involves architecting and deploying cutting‑edge personalized recommendation engines. This is powered by original research into homegrown Foundation Models, advanced Reinforcement Learning techniques, and a state‑of‑the‑art scalable architecture built for billions of interactions. Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer‑based architectures, and sophisticated Recommender Systems.

Role Description

• 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 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.
• 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 3 years of hands‑on experience building, deploying, and maintaining high‑scale, production‑grade ML systems using MLOps practices, including AWS, Kubeflow, and CI/CD pipelines
• At least 4 years of experience in developing and optimizing state‑of‑the‑art Deep Learning models, specifically Transformer‑based architectures, using PyTorch and distributed training with multi‑GPU optimization
• At least 4 years of experience with high‑performance, distributed data processing for petabyte‑scale feature engineering using frameworks like DASK and PySpark

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.

McLean, VA: $197,300 - $225,100 for Mgr, Data Science

New York, NY: $215,200 - $245,600 for Mgr, Data Science

San Jose, CA: $215,200 - $245,600 for Mgr, 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 to any candidate 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.

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 (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.

Equal Opportunity and Accommodations

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.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1‑800‑304‑9102 or via email at [e-mail] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.