Capital One is looking to leverage data science and machine learning to deliver real-time, personalized, intelligent customer experiences across their digital products, aiming to delight customers by adapting to their needs and unlocking opportunities to save them money, time, and agony.
Requirements
- 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
- Specialized experience in the fields of Information Retrieval, NLP, Data-centric AI, and Knowledge Graphs
- You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- 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.
- You have the skills to retrieve, combine, and analyze data from a variety of sources and structures.
Responsibilities
- 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.
- 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
Other
- 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)
- Track record of driving innovation, publishing and communicating your work in industry
