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Sr. Manager, Technical Analytics

Capital One


Location:
Vienna, VA
Date:
05/29/2017
Job Code:
capitalone2-R23151
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Job Details

Company Capital One

Job Title: Sr. Manager, Technical Analytics

JobID: capitalone2-R23151

Location: Vienna, VA, 22180, USA

Description: 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.



Sr. Manager, Technical Analytics



As a Senior Leader on the Data Intelligence team, you will lead a Full Stack Data Engineering Team to build a fast data and machine learning platform scalable to solve diverse business problems. We envision, create, deploy, and solutions powered by streaming big data, state of the art machine learning, micro-service architecture, and intuitive visualizations in the cloud. You will shape the vision, as well as productionalize how to wrangle Capital One’ big fast data seas and rivers leveraging cutting edge machine learning algorithms to derive game changing insights. We are highly technical with strong backgrounds in what we do.



In this role, you and your team will be building a streaming data pipeline which leverages ML on top of time series oriented IoT data to provide capabilities which enable 24/7 “always on” service to internal and external customers. We are a full stack development shop, have the highest executive support, and our work directly impacts our customer experience and bottom line.



Who you are:



• You yearn to be part of cutting edge, high profile projects and are motivated by delivering world-class solutions on an aggressive schedule



• Someone who is not intimidated by challenges; thrives even under pressure; is passionate about their craft; and hyper focused on delivering exceptional results



• You love to learn new technologies and mentor junior engineers to raise the bar on your team



• It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share



• You use, or are passionate about learning, and implementing complex systems to further customer goals. Implementing complex data structures or optimizing distributed machine learning deployments is something that you're excited about.



\#ilovedata



What we have:



• Flexible work schedules



• Convenient office locations



• Generous salary and merit-based pay incentives



• A startup mindset with the wallet and resources of a top 10 bank



• Monthly innovation challenges dedicated to test driving cutting edge technologies



• Your choice of equipment (MacBook/PC, iPhone/Android Device)



Basic Qualifications:



Bachelor’s Degree or military experience



At least 2 years of experience writing production code with either Java, Scala or Python



At least 4 years of experience working with data pipelines



At least 1 year of experience with AWS, specifically S3, EC2, and EMR



At least 2 years of combined experience with the following technologies: Spark, Scala, Akka, Cassandra, Accumulo, Hbase, Hadoop, HDFS, AVRO, MongoDB, or Mesos



Preferred Qualifications:



Master's Degree



At least 2 years of experience working with Machine Learning frameworks and Data Science methodologies



At least 3 years of experience in working on and delivering research oriented data driven problems



At least 1 year of experience working with machine learning like SciKit-Learn, MLLib, or Theano, in production environments



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



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.                                               


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