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Join Capital One as a Manager, Data Scientist on the Application Fraud Team. Partner with cross-functional teams to deliver innovative solutions using advanced technologies like Python, Conda, AWS, H2O, and Spark. Build machine learning models to prevent fraud and improve customer experience. Ideal candidate is customer-focused, creative, statistically-minded, and skilled in data analysis. Requires Bachelor's Degree plus 6 years of experience or Master's Degree plus 4 years of experience in data analytics.

Partner with a cross-functional team to deliver a product customers love, leverage technologies like Python, Conda, AWS, H2O, and Spark, build machine learning models, and translate work complexity into business goals.

Join Capital One as a Manager, Data Scientist in the Application Fraud team. Collaborate with a cross-functional team to develop machine learning models for fraud prevention at the application stage. Utilize Python, Conda, AWS, H2O, and Spark to analyze and extract insights from large volumes of data. Ideal candidate is customer-focused, creative, statistically-minded, and a data expert. Basic qualifications include Bachelor's Degree with 6 years of data analytics experience or Master's Degree with 4 years of experience. Preferred qualifications include a PhD in a STEM field.