Principal Data Scientist, Consumer Identity Machine Learning

6 days ago

San Francisco, United States Capital One Full time
Principal Data Scientist, Consumer Identity Machine Learning

Apply locations: McLean, VA; Cambridge, MA; San Francisco, CA; San Jose, CA; New York, NY

Time type: Full time

Posted on: Posted 2 Days Ago

Job requisition id: R204573

Team Description

Consumer Identity ML is the data science and machine learning team inside Capital One’s AI foundation organization. We deliver real-time, personalized, intelligent customer experiences in Capital One’s suite of award-winning digital products, including our website, mobile app, emails, chatbot, and beyond. We partner closely with our product and engineering teams to build the data and modeling platforms crucial to the deep understanding of customers that enables our applications to delight them by adapting to their needs.

As part of Consumer ML, you will:

  • Explore billions of clickstream events to discover the patterns in customer behavior and use those patterns to model key customer outcomes.

  • Develop the real-time models that use vast amounts of customer data to anticipate customers’ needs and deliver the right options at the right time.

  • Develop the models that ensure our most important customer data is accurate, fighting fraud and other bad behavior, while enabling seamless digital experiences across all our products.

Role Description

In Consumer Identity ML, you will work at all phases of the data science life cycle, including:

  • Build machine learning models through all phases of development, from design through training, evaluation, and validation, and partner with engineering teams to improve operationalization in scalable and resilient production systems that serve 50+ million customers.

  • Partner closely with a variety of business and product teams across Capital One to conduct the experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing, and fraud prevention.

  • Write software (Python, e.g.) to collect, explore, visualize, and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark.

The Ideal Candidate is:

  • 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.

  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.

  • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

  • Statistically-minded. You’ve built models, validated them, and back tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

  • A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications

  • Currently has, or is in the process of obtaining a Bachelor’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining a PhD, with an expectation that required degree will be obtained on or before the scheduled start date.

  • At least 1 year of experience in open source programming languages for large scale data analysis.

  • At least 1 year of experience with machine learning.

  • At least 1 year of experience with relational databases.

Preferred Qualifications

  • Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in Deep Learning, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics).

  • Specialized experience in the fields of Information Retrieval, NLP, Data-centric AI, and Knowledge Graphs.

  • Track record of driving innovation, publishing and communicating your work in the industry.

  • At least 3 years’ experience in PyTorch/Tensorflow.

  • At least 3 years’ experience with machine learning.

  • At least 1 year of experience working with AWS.

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

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