Senior Manager Of Data Science For Machine Learning, Conversational AI

Capital One Vienna , VA 22181

Posted 1 week ago

Towers Crescent (12066), United States of America, Vienna, Virginia

At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking.

We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results.

We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Senior Manager of Data Science for Machine Learning, Conversational AI

Capital One is seeking a Data Scientist for an exciting initiative to develop multichannel natural language

intelligent assistants that provide an outstanding experience for our customers. So far we've brought to

life Eno, Capital One's intelligent assistant, and our Alexa and Cortana skills. We're quickly improving

these and adding more channels. You will work closely with our product, design, and tech teams to

develop machine learning models leveraging rich data to bring greater intelligence and humanity to our

conversational AI.

At Capital One, data is at the center of everything we do. When we were a tiny 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 to the present and we've

become a leader in the world of data-driven decision-making.

Twenty-five years after Capital One was started it's still led by its founder who is committed to making it

a leading tech company, not just a leading bank. Be ready to join a community of the smartest people

you've ever met, who put the customer first, and want to use their data skills to change banking for

good.

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 distributed computing technologies and operating across billions

and billions of customer transactions to unlock the big opportunities that help everyday people save

money, time and agony in their financial lives. You'll also be part of a strong community of hundreds of

data scientists doing industry-leading work, with the opportunity to advance either as a people

manager, an individual contributor, or striking your own balance of the two.

In this position you'll spend time:

Primarily as an individual contributor: Writing code, probably Python, to create machine learning

models from conception through retraining, partnering with tech teams to deploy to our 30+ million

customers in production

Also light management work: Leading a small team of data scientists focused on building and deploying

models

Building partnerships with other ML teams to help deliver more, faster, better

Mapping whitespace. You'll have a lot of latitude to create your own research agenda while focusing on

where your team can provide the best value.

On any given day, you might find yourself:

Collaborating with our AI teams to make Eno ever smarter

Brainstorming with our Design teams to dream up the next cool way to make Eno more empathetic

Using Tensorflow and/or other hot tools for building robust, deployable models

Using Spark and related tools to manage the analysis of billions of customer transaction records

Writing software to clean and investigate large, messy data sets of numerical and textual data

Integrating with external data sources and APIs to discover interesting trends (NOAA Weather Data +

Credit Card Transactions = Fascinating!)

Designing a rich data visualization to communicate complex ideas to customers or company leaders

Investigating the impact of new technologies on the future of mobile banking and the financial world of

tomorrow

Reading up on a new modeling algorithm that the industry is starting to use

The ideal candidate will be a:

Strong communicator, able to respectfully explain complex ideas and project influence to a diverse,

collaborative audience.

Constructive skeptic, able to internalize the wisdom of the community, but also can see where changing

facts require new ideas and is not afraid to say so.

Quick learner, able to master new tools and modeling techniques in order to effectively challenge

decisions made by fast-moving partners

Data wrangler. You know how to programmatically extract data from a database and an API, bring it

through a transformation or two, and model it into human-readable form (ROC curve, map, d3

visualization, Tableau, etc.).

Results-focused modeler. You are a passionate expert in Machine Learning theory and execution, but

you also know that a model's value emerges from a complex interaction of theory, people, data, and

processes.

Basic Qualifications:

Bachelor's Degree plus 6 years of experience in data analytics, or Master's Degree plus 4 years of

experience in data analytics, or PhD plus 2 years of experience in data analytics
3+ years experience in open source programming languages for large scale data analysis
3+ years experience with machine learning
3+ years experience with relational databases
1+ years experience managing people

Preferred Qualifications:

PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 2 years of experience in

data analytics
2+ years experience working with Cloud environments
1+ year experience managing people
5+ years experience in Python, Scala, R, or other modern programming language
7+ years experience with statistics or machine learning
2+ years experience with Natural Language Understanding models

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

position.



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Senior Manager Of Data Science For Machine Learning, Conversational AI

Capital One