Principal Associate - Data Scientist, Credit Infrastructure Responsibilities Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love. Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, 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. Qualifications 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. 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. 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 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. Benefits Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. #J-18808-Ljbffr People Center
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