Director, Data Scientist - US Card
About The Position
The Director, Data Scientist will join Capital One’s US Card Data Science organization, which uses customer data to guide business strategy and deliver customer experiences. The team develops and deploys data science and machine learning models across the credit card lifecycle, including marketing, acquisitions, underwriting, and fraud prevention. The role applies data science to complex datasets to shape financial products serving and protecting cardholders. The position partners with data scientists, software engineers, and product managers to develop customer-focused products. It uses technologies such as Python, Conda, AWS, H2O, and Spark to find insights in large volumes of numeric and textual data. The Director builds machine learning models from design through training, evaluation, validation, and implementation, and communicates technical work in terms of business goals. The ideal candidate is customer-focused, innovative, creative, technically skilled, statistically minded, and a leader who develops talent and challenges existing approaches.
Requirements
- Bachelor’s degree in a quantitative field plus 9 years of experience performing data analytics; or master’s degree in a quantitative field or an MBA with a quantitative concentration plus 7 years of data analytics experience; or PhD in a quantitative field plus 4 years of data analytics experience.
- At least 4 years of experience leveraging open-source programming languages for large-scale data analysis.
- At least 4 years of experience working with machine learning.
- At least 4 years of experience utilizing relational databases.
- Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- Experience building, validating, and backtesting models, and interpreting measures such as confusion matrices and ROC curves.
- Experience with clustering, classification, sentiment analysis, time series, and deep learning.
- Ability to retrieve, combine, and analyze data from multiple sources and structures.
Nice To Haves
- PhD in a STEM field plus 5 years of experience in data analytics.
- At least 1 year of experience working with AWS.
- At least 3 years of experience managing people.
- At least 5 years of experience using Python, Scala, or R for large-scale data analysis.
- At least 5 years of experience with machine learning.
Responsibilities
- Partner with data scientists, software engineers, and product managers to deliver customer-focused products.
- Use technologies including Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data.
- Build machine learning models through design, training, evaluation, validation, and implementation.
- Translate complex technical work into tangible business goals.
- Research and evaluate emerging technologies and seek opportunities to apply state-of-the-art methods.
- Work with stakeholders to challenge conventional thinking and improve existing approaches.
- Support talent development for the team and beyond.
- Retrieve, combine, and analyze data from diverse sources and structures.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being.
- Eligibility for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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What This Job Offers
Job Type
Full-time
Career Level
Director
