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The Data Scientist will design and deliver models and analyses to support Capital One's talent strategies, focusing on areas such as talent attraction, diversity, and productivity. This role involves leveraging data science tools and methodologies to develop insights and high-impact solutions related to human capital challenges.

The role involves applying data science to enhance Capital One's talent strategies by designing models, conducting research, and delivering analyses. Responsibilities include tackling human capital issues through innovative solutions, data science skills, and statistical methods, with a focus on understanding associate behavior and productivity.

As a Senior Associate, Data Science in People Analytics at Capital One, you will be responsible for designing and delivering modeling, research, and analysis to support talent strategies. The role involves applying data science skills to understand associate behavior, improve talent attraction and retention, and enhance executive pipeline diversity. The ideal candidate is passionate about human capital, innovative, creative, technical, and statistically-minded. Basic qualifications include a Bachelor's Degree with 2 years of data analytics experience, experience in open-source programming languages, machine learning, and relational databases. Preferred qualifications include a Master's Degree in a STEM field with 3 years of data analytics experience, proficiency in AWS, Python, PyTorch, Scala, R, machine learning, and SQL.