
Posted 6 hours ago
Senior Manager, Data Scientist
Capital OneSenior Manager, Data Scientist
Requirements
Bachelor's degree in quantitative field plus 7 years experience, Master's degree in quantitative field plus 5 years experience, PhD in quantitative field plus 2 years experience, 2+ years experience with open source programming for large scale data, 2+ years experience with machine learning, 2+ years experience with relational databases
Skills
PythonAWSMachine LearningSparkSQL
About the role
Responsibilities
- Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver high-impact products.
- Build machine learning models through all phases of development, including design, training, evaluation, validation, and implementation.
- Leverage a broad technology stack including Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data.
- Translate complex statistical findings into actionable business insights for stakeholders.
- Ensure all models used to underwrite the Discover Card portfolio are well-managed and optimized.
Requirements
- Bachelor's degree in a quantitative field (Statistics, Economics, Math, CS, etc.) plus 7 years of experience in data analytics.
- Master's degree in a quantitative field plus 5 years of experience in data analytics.
- PhD in a quantitative field plus 2 years of experience in data analytics.
- At least 2 years of experience leveraging open source programming languages for large-scale data analysis.
- At least 2 years of experience working with machine learning.
- At least 2 years of experience utilizing relational databases.
Preferred Qualifications
- PhD in a STEM field plus 4 years of experience in data analytics.
- At least 1 year of experience working with AWS.
- At least 1 year of experience managing people.
- At least 5 years of experience in Python, Scala, or R for large-scale data analysis.
- At least 5 years of experience with machine learning.
About the Company
Capital One is a leader in data-driven decision-making, using cutting-edge technology and machine learning to personalize financial experiences. We are committed to using big data to help everyday people save money, time, and effort in their financial lives.
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Capital One · McLean
