Senior Manager - Data Scientist, Conversational AI

Employer
Capital One
Location
Cambridge, Massachusetts
Posted
Sep 26, 2021
Closes
Oct 26, 2021
Ref
R121174
Function
Finance
Hours
Full Time
314 Main Street (21020), United States of America, Cambridge, Massachusetts

Senior Manager - Data Scientist, Conversational AI

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

This team builds the servicing optimization engines that use multi-modal big data, deep learning to create AI solutions that anticipates customers' needs, interacts with customers in real time, and helps them manage their accounts, purchases, payments, rewards, and more.

This includes hands-on designing and deploying recommender systems, deep learning on high-dimensional data images, and reinforcement learning.

Role Description

In this role, you will:

Lead and mentor a team of data scientists. Partner with software engineers, and product managers to design and deliver a product customers love

Leverage a broad stack of technologies - Python, AWS, Spark, Pytorch, Tensorflow 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 and product oriented. You share our passion for changing banking for good, and have demonstrated experience working with web, social/behavioral, e-commerce, or similar data.

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.

A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.

Technical. You're comfortable with open-source languages and are passionate about developing further. You are not only familiar with deep learning concepts (e.g. Attention Network, Transformers), but also tuned in with the state-of-the-art model architectures (e.g., BERT) and have hands-on experience training and fine-tuning the model solution using open source tools.

Basic Qualifications:

Bachelor's Degree plus 7 years of experience in data analytics, or Master's Degree plus 5 years of experience in data analytics, or PhD plus 2 years of experience in data analytics

At least 3 years' experience in open source programming languages for large scale data analysis

At least 3 years' experience with machine learning

At least 3 years' experience with relational databases

Preferred Qualifications:

PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics

At least 1 year of experience working with AWS

At least 1 year of experience managing people

At least 5 years' experience in Python, Scala, or R for large scale data analysis

At least 5 years' experience with machine learning

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

No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. 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 RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that 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).