Principal Data Scientist, Consumer Identity Machine Learning
Capital One
full-time
Posted on:
Location Type: Hybrid
Location: McLean • California, New York, Virginia • 🇺🇸 United States
Visit company websiteSalary
💰 $158,600 - $197,400 per year
Job Level
Lead
Tech Stack
AWSPythonPyTorchSparkTensorflow
About the role
- 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
- Build machine learning models through all phases of development, from design through training, evaluation and validation
- 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.
Requirements
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
- 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 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.
Benefits
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdata analyticsdeep learningPythonPyTorchTensorFlowdata visualizationstatistical analysisinformation retrievalnatural language processing
Soft skills
innovationcommunicationcollaborationproblem-solvinganalytical thinking
Certifications
Bachelor's DegreeMaster's DegreePhD