Principal Associate, Data Scientist - Retail Bank Marketing

Capitalize on a role that leads the next wave of disruption across billions of customer records, translating business goals into data science solutions and communicating with senior stakeholders.

The marketing data science team in the Retail Bank builds machine learning models that optimize digital marketing spend, channel selection, product offering, and account acquisition value.

• Work closely with subject matter experts to deliver flexible, well-managed models that perform well under a variety of economic conditions.
• Translate business goals into data science solutions and communicate with senior stakeholders.
• Build machine learning models through all phases of development: design, training, evaluation, validation, and implementation.
• Explore next-generation model architectures (eg, embeddings, sequence models) to unlock value in marketing efficiency.

• Technical: Comfortable with open-source languages, passionate about development. Hands-on experience with software engineering techniques and end-to-end model pipelines in Python.
• Statistically-minded: Experienced in machine learning algorithms and predictive solutions.
• Creative: Thrive on bringing definition to big, undefined problems; love asking questions and pushing hard to find answers. Not afraid to share new ideas.
• Storyteller: Effective communicator of technical details to a variety of audiences.

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

• Master's Degree in a STEM field (Science, Technology, Engineering, Mathematics) plus 3 years of experience in data analytics, or PhD in a STEM field plus 3 years of experience.
• At least 3 years' experience in Python.
• At least 3 years' experience with machine learning.
• At least 3 years' experience with SQL.

Salary range (McLean, VA): $161,800 - $184,600. Eligible to earn performance-based incentive compensation including cash bonus(es) and/or long-term incentives.

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

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

Capital One promotes a drug-free workplace.

Capital One will consider qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.

All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.