Manager, Data Science - Emerging ML

Manager, Data Science - Emerging ML

About Capital One

Data is at the center of everything we do. As a startup, Capital One disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988. This innovation and passion for data has grown the company to a Fortune 200 leader in data-driven decision-making.

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

Team Description

Emerging ML is the data science and machine learning team inside Capital One's Applied Research organization. The team focuses on research and development of new technologies within Artificial Intelligence with a focus on Embeddings and Foundation Models. You will partner closely with product and engineering teams to connect emerging technologies with business critical use cases across Capital One's lines of business.

As part of Emerging ML, you will work on:

• Conducting research into self supervised learning, transformer models, and representation learning
• Building customer behavioral models (using transaction, clickstream, and other data) that identify trends, patterns, and relationships related to product usage
• Refining integration patterns for encoder and decoder models for downstream use cases to connect Applied Research products and business use cases

Role Description

This is an individual contributor position. In Emerging ML, you will work at all phases of the data science lifecycle, including:

• Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems that serve 50+ million customers
• Partner closely with a variety of business and product teams across Capital One to conduct experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud prevention
• Write software (Python, Scala, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark and AWS

The Ideal Candidate

Mindset:

• Curious and creative, thriving on bringing definition to big, undefined problems
• Love asking questions and pushing hard to find answers
• Not afraid to share new ideas
• Communicate clearly and effectively to share findings with non-technical audiences

Technical Skills:

• Hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms
• Not afraid of petabytes of data
• Statistically-minded with experience building, validating and backtesting models
• Know how to interpret a confusion matrix or a ROC curve
• Experience with clustering, classification, sentiment analysis, time series analysis and deep learning

Customer and Product Orientation:

• Share passion for changing banking for good

Basic Qualifications

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

Additionally:

• 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)
• Experience working with AWS
• At least 4 years' experience in Python, Scala, or R
• At least 4 years' experience with machine learning
• At least 4 years' experience with SQL

Compensation and Benefits

The minimum and maximum full-time annual salaries for this role by location:

• McLean, VA: $197,300 - $225,100
• New York, NY: $215,200 - $245,600
• San Jose, CA: $215,200 - $245,600

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. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

Additional Information

• Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
• 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

For accommodation requests, contact Capital One Recruiting at 1-800-304-9102 or RecruitingAccommodation@capitalone.com. For technical support or questions about Capital One's recruiting process, email Careers@capitalone.com.

Capital One Financial is made up of several different entities. Any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).