Senior Manager, Data Science - AI Foundations, Specialist Models

Capital One; McLean (VA); On-site; USD 229,900 - 262,400; Full time

Benefits offered by this job

Comprehensive health benefits

Financial support options

Inclusive workplace environment

Job summary

Capital One is looking for a Senior Manager, Data Science specializing in AI Foundations to lead innovative data science solutions. You will build machine learning models and collaborate with teams to deliver impactful results across various business lines.

The ideal candidate will possess strong statistical analysis skills and experience with programming languages, particularly in large-scale data environments. A comprehensive benefits package is available to support well-being.

Qualifications

• 7+ years of experience performing data analytics.
• Hands-on experience developing data-science solutions.
• Comfortable with retrieving and analyzing data from various sources.

Responsibilities

• Build a next-generation entity resolution solution using machine learning.
• Leverage technologies like Python and AWS for data insights.
• Translate complex work into actionable business goals.

Skills

Machine Learning

Data Analysis

Python

AWS

Statistical Analysis

SQL

Education

Bachelor’s Degree in a quantitative field

Master’s Degree or MBA with quantitative concentration

PhD in a quantitative field

Tools

Open-source programming languages

Relational Databases

Job description

Senior Manager, Data Science – AI Foundations, Specialist Models

Senior Manager, Data Science – AI Foundations, Specialist Models at Capital One leads the next wave of disruption using the latest in computing and machine learning technologies to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

The Entity Resolution Systems team builds and ships state‑of‑the‑art machine learning solutions to support entity resolution within the enterprise. A core capability that powers a wide range of use cases spanning marketing to customer servicing, our work has immediate impact across multiple lines of business. We partner with product, tech, and design teams to deliver personalized experiences for our data and platform users.

Responsibilities

• Partner with a cross‑functional team of data scientists, software engineers, and product managers to build a next‑generation entity resolution solution using cutting‑edge machine learning approaches.
• Leverage a broad stack of technologies – Python, AWS, Spark, modern models such as transformers, graph ML, and more – to extract insights from huge volumes of numeric and textual data.
• Build machine learning models through all phases of development, from design, training, evaluation, validation, and implementation.
• Leverage agentic AI tools and workflows to build and test solutions.
• Translate complex work into tangible business goals with strong interpersonal skills.

Ideal Candidate

• Innovative – continually research and evaluate emerging technologies and apply them.
• Creative – thrive on bringing definition to big, undefined problems and willing to share new ideas.
• Technical – comfortable with open‑source languages and passionate about developing further; hands‑on experience developing data‑science solutions using open‑source tools and cloud platforms.
• Statistically‑mindful – built models, validated them, back‑tested, and can interpret confusion matrices or ROC curves. Experience with clustering, classification, sentiment analysis, time‑series, and deep learning.
• Data guru – comfortable retrieving, combining, and analyzing data from a variety of sources; understand that data is often key to great data science.

Basic Qualifications

• Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 7years of experience performing data analytics.
• Master’s Degree or MBA with quantitative concentration plus 5years of experience performing data analytics.
• PhD in a quantitative field plus 2years of experience performing data analytics.
• At least 2years of experience leveraging open‑source programming languages for large‑scale data analysis.
• At least 2years of experience working with machine learning.
• At least 2years of experience utilizing relational databases.

Preferred Qualifications

• PhD in a “STEM” field (Science, Technology, Engineering, Mathematics).
• Experience working with AWS.
• At least 5years’ experience in Python, Scala, or R.
• At least 5years’ experience with machine learning.
• At least 5years’ experience with SQL.
• Capitalize sponsorship for employment authorization is possible.

Salary

• McLean, VA: $229,900 – $262,400 (Sr‑Mgr, Data Science)
• NewYork,NY: $250,800 – $286,200 (Sr‑Mgr, Data Science)
• SanJose,CA: $250,800 – $286,200 (Sr‑Mgr, Data Science)

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being.

Equal Employment Opportunity

Capital One is an equal‑opportunity employer (EEO, including disability/veteran). We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity, age, national origin, protected veteran status, or disability. This statement applies to all employment‑related decisions, including hiring, compensation, training, and termination.

Accommodations

All information you provide will be kept confidential and used only to the extent required to provide reasonable accommodations. Contact Capital One Recruiting at 1‑800‑304‑9102 or [e-mail] for assistance.