Senior Data Scientist, - AI Foundations, Personalization

The Personalization team in AI Foundations builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging AI/ML technologies.In this role, you will:Partner with a cross-functional team of data scientists, software engineers, product managers, and designers to deliver AI powered products that customers love.Leverage a broad stack of technologies — PyTorch, Keras, TensorFlow, Scikit-learn, transformers, and more — to reveal the insights hidden within huge volumes of numeric and textual data.Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.Flex your interpersonal skills to translate the complexity of your work into tangible business goals.The Ideal Candidate is:Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications in the area of deep learning, natural language processing and recommendation & personalization and seek out opportunities to apply them.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.With an engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code to existing products.A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.Basic Qualifications:Currently has, or is in the process of obtaining a Bachelor’s Degree plus 2 years of experience in data analytics, or currently has, or is in the process of obtaining Master’s Degree, or currently has, or is in the process of obtaining 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 data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics).At least 1 year of experience working with AWS.At least 2 years’ experience in Python, PyTorch, Scala, or R.At least 2 years’ experience with machine learning.At least 2 years’ experience with SQL.At least 2 years' experience working with natural language processing.

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