20 days old

Data Science Manager for Research, Conversational AI

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

At Capital One, were 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.

Data Science Manager for Research, Conversational AI

Capital One is seeking a Data Scientist at the Manager level for an exciting new initiative to develop multichannel natural language intelligent assistants that provide an outstanding experience for our customers. You will work closely with our product, design, and engineering teams to perform sophisticated statistical analyses about human and chatbot behavior, which will in turn bring greater intelligence and humanity to our conversational AI. So far we've brought Eno (SMS, web site, apps, interactive email, browser extension) and our Alexa and Cortana skills to life. We send billions of messages each year. We're quickly improving these and adding more channels.

As a Data Scientist at Capital One, youll be part of a team thats 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.

In this position you'll spend time analyzing human and chatbot behavior with sophisticated statistical models to pinpoint our best opportunities to improve customer experience and engagement.

Were looking for a researcher/communicator who will...

  • Conduct original product research (not academic research) including causal inference on observational data. Lead/strategize in the development of a stream of research pursued by yourself and others.

  • Drive experimentation. Guide stakeholders in design, guide software engineers in implementation, perform expert Bayesian analysis, and set requirements for the building of experimentation infrastructure.

  • Lead analysts and scientists as the methodological expert. Build consensus across the division on methods, and teach others good practices.

  • Be the face of research for Conversational AI & Messaging. Present research effectively to leadership and both technical and non-technical groups. Answer questions about all research by the team.

On any given day you may also find yourself...

  • Designing, running, and analyzing experiments to pinpoint which features to focus on building

  • 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!)

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

  • Designing rich data visualizations 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

  • Supplying data-focused groups -- leadership, product, engineering, and design teams -- with the insights they need to make decisions based on the best research available

The ideal candidate will be...

  • Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea.

  • Wrangler. You know how to move data around, from a database or an API, through a transformation or two, a model and into human-readable form (ROC curve, Excel chart, map, d3 visualization, Tableau, etc.). You probably know Python, Java, R, Storm, Julia, SQL, Matlab, Mahout, or think everything can be done in a Perl one-liner.

  • Do-er. You have a bias toward action, you try things, and sometimes you fail. Expect to tell us what youve shipped and whats flopped.

  • Fearless. Big, undefined problems and petabytes don't frighten you. You can work at a tiny crack until you've broken open the whole nut.

Basic Qualifications

  • Masters Degree with at least 2 years of experience in data science or Bachelor's Degree with at least of 6 years of experience in data science

  • At least 2 years of experience with using statistics to analyze human behavior

  • At least 2 years of experience in open source programming languages for large scale data analysis

  • At least 1 year of experience with relational databases

  • At least 1 year of experience with SQL

Preferred Qualifications

  • Ph.D. in statistics, social science

  • 3+ years of experience with using statistics to analyze human behavior

  • 3+ years of experience in open source programming languages for large scale data analysis

  • 1+ years of experience with machine learning

  • 2+ years of experience with relational databases

  • 2+ years of experience with SQL

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


Posted: 2019-10-02 Expires: 2019-11-20

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Data Science Manager for Research, Conversational AI

Capital One

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