Senior Manager, Data Scientist - NLP

Employer
Capital One
Location
McLean, Virginia
Posted
Nov 19, 2020
Closes
Nov 25, 2020
Ref
5c30875d68b3
Organization Type
Corporate
McLean 2 (19052), United States of America, McLean, Virginia

Senior Manager, Data Scientist - NLP

At Capital One, data is at the center of everything we do. When we launched 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.

Department Summary:

The Card ML team is working to transform every corner of our business with machine learning. To accomplish this goal, we use the latest techniques in machine learning and natural language processing - deep learning, reinforcement learning, genetic algorithms, representation learning - and marry them with real-time streaming data in the cloud, to create best-in-class enterprise-scale ML products. We tackle a huge variety of business problems and work with vast quantities of data of every kind.

Role Summary:

As a Senior Manager, Machine Learning at Capital One, you will be joining an applied research group that's part of driving the next wave of disruption at a whole new scale. Using the latest technology and state-of-the-art machine learning, you'll unlock opportunities that help everyday people save money, time and difficulty in their financial lives. As a leader in the group, you will partner closely with team members, engineers, product managers and business stakeholders to innovate and build ML applications at the largest scale. NLP scientists in this group work on an array of challenging problems, including robust methods to tackle the noisy output of speech recognition systems, automated insights from unstructured text, and the next generation of virtual assistants. In this role, you will provide technical leadership in NLP research, ML engineering, and reproducible science to support design, execution and delivery of these business critical outcomes. We also encourage active participation in the wider research community.

The Ideal Candidate is:
  • Technical. You are independent and can develop your own algorithms and experiments. You have hands-on experience developing NLP solutions, from concept to production, and selecting the right tool for the job at hand. You have significant experience with cloud computing, systems architecture, and IAAS. You are fluent in Python and comfortable with C/C++, Go, or Java/Scala.
  • Leader. You are an effective mentor and hands-on leader, able to guide a team from design through a cohesive execution strategy towards a unified business outcome. You challenge conventional thinking and traditional ways of operating and you work with stakeholders to identify and improve the status quo.
  • Innovative. You continually research and evaluate emerging technologies. You stay current on the changing landscape as well as published state-of-the-art ML methods, technologies, and applications. You ask why, explore and openly share your disruptive ideas.
  • Business-Minded. You can analyze customer needs and drive towards impactful business outcomes.


Basic Qualifications:
  • Bachelor's Degree plus 7 years of experience in machine learning systems, Master's Degree plus 5 years of experience in machine learning systems, or PhD in a Machine Learning discipline plus 2 years of experience in machine learning systems
  • At least 7 years of experience developing solutions that leverage one or more of the following: distributed computing, databases, natural language processing, machine learning, deep learning, search, speech processing, video analysis or optical character recognition
  • At least 3 years of coding experience with open source programming languages


Preferred Qualifications:
  • PhD in a Machine Learning discipline plus 4 years of experience in machine learning systems
  • At least 8 years' experience designing and developing production software and libraries
  • At least 5 years' experience working with cloud computing platforms in AWS or Azure
  • At least 3 years of coding experience in Python, C/C++, or Scala
  • At least 1 peer reviewed publication demonstrating best practices for conducting applied research
  • At least 1 year of experience managing people


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