Remote opportunity at
Capital One National AssociationDirector, Data Science - Consumer and Developer Experience (Remote-Eligible)
Capital One National Association seeks a Director of Data Science to support strategic priorities for Consumer and Developer Experience within its product strategy group. The organization…
Career Tools
About This Role
Capital One National Association seeks a Director of Data Science to support strategic priorities for Consumer and Developer Experience within its product strategy group. The organization focuses on digital engagement tools, personalization engines, marketing platforms, vendor management utilities, and risk management systems. The strategy team functions as an internal innovation lab that crafts prototypes and collaborates alongside product and engineering staff to scale digital platforms. This position requires an individual…
Job Description
Capital One National Association seeks a Director of Data Science to support strategic priorities for Consumer and Developer Experience within its product strategy group. The organization focuses on digital engagement tools, personalization engines, marketing platforms, vendor management utilities, and risk management systems. The strategy team functions as an internal innovation lab that crafts prototypes and collaborates alongside product and engineering staff to scale digital platforms.
This position requires an individual who can balance high-level strategic planning with hands-on analytical execution. Responsibilities include partnering with cross-functional groups, applying statistical techniques to vast datasets, and overseeing machine learning model development across every stage of the lifecycle. Qualified candidates should possess strong interpersonal capabilities to explain complex technical concepts to broader business audiences.
Capital One operates as a technology-focused financial institution reaching over 100 million customers, utilizing cloud infrastructure and open-source software to build real-time banking solutions. This full-time role is remote-eligible, with specific salary tiers established depending on the worker location.
Responsibilities
- Collaborate with software engineers, business analysts, and product managers to deliver customer-focused products
- Utilize technology stacks including Python, Conda, AWS, H2O, and Spark to analyze large volumes of text and numeric information
- Develop machine learning models spanning design, training, evaluation, validation, and implementation phases
- Communicate complex technical findings clearly to target business goals and stakeholders
Requirements
- Four or more years of experience utilizing open-source programming languages for large-scale data analysis
- Four or more years of hands-on experience working with machine learning
- Four or more years of experience working with relational databases
- Possession of a Bachelor's degree in a quantitative field plus nine years of data analytics experience, a Master's degree or MBA with a quantitative concentration plus seven years of experience, or a PhD plus four years of experience
Qualifications
- Doctorate in a STEM field paired with five years of experience in data analytics
- At least one year of professional experience working with AWS
- Minimum of three years of experience managing personnel
- At least five years of experience using Python, Scala, or R for large-scale data analysis
- Five or more years of machine learning experience
Core Skills
Benefits
- Performance-based incentive compensation including cash bonuses and long-term incentives
- Comprehensive health, financial, and well-being benefit programs
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, this role is remote-eligible.
What is the salary range for this position?
The full-time annual salary ranges from $244,700 to $279,200 for remote locations, Chicago, Richmond, and Riverwoods; $269,100 to $307,200 for McLean; and $293,600 to $335,100 for New York and San Francisco.
What are the core educational requirements?
Candidates must hold either a Bachelor's degree in a quantitative field with 9 years of analytics experience, a Master's degree or MBA in a quantitative discipline with 7 years of experience, or a PhD in a quantitative field with 4 years of experience.
Does Capital One offer visa sponsorship for this job?
Yes, Capital One will consider sponsoring new qualified applicants for employment authorization.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.