Senior Director, Data Scientist - US Card
About The Position
The Senior Director, Data Scientist will work in 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 turns complex insights into practical impact for 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 analyze large volumes of numeric and textual data, and develops machine learning models from design through training, evaluation, validation, and implementation. The role also communicates technical work in terms of business goals and provides leadership and talent development. The ideal candidate puts customers first, is innovative and creative, takes a leadership role in improving the status quo, and has hands-on experience building data science solutions with open-source tools and cloud platforms. They are statistically minded, experienced in model development and validation, and able to retrieve, combine, and analyze data from varied sources and structures.
Requirements
- Bachelor’s degree in a quantitative field and 11 years of experience performing data analytics; or a master’s degree in a quantitative field, or an MBA with a quantitative concentration, and 9 years of data analytics experience; or a PhD in a quantitative field and 6 years of data analytics experience. The required degree must be obtained by the scheduled start date.
- At least 6 years of experience leveraging open-source programming languages for large-scale data analysis.
- At least 6 years of experience working with machine learning.
- At least 6 years of experience utilizing relational databases.
- Experience developing and validating models, including interpreting confusion matrices or ROC curves.
- Experience with clustering, classification, sentiment analysis, time series, and deep learning.
- Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Nice To Haves
- PhD in a STEM field plus 7 years of experience in data analytics.
- At least 1 year of experience working with AWS.
- At least 4 years of experience managing people.
- At least 6 years of experience using Python, Scala, or R for large-scale data analysis.
- At least 7 years of experience with machine learning.
Responsibilities
- Partner with data scientists, software engineers, and product managers to deliver products customers value.
- Use technologies such as Python, Conda, AWS, H2O, and Spark to uncover insights in 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 stay current on state-of-the-art methods, technologies, and applications.
- Challenge conventional thinking and work with stakeholders to identify and improve the status quo.
- Support talent development for the team and beyond.
- Retrieve, combine, and analyze data from a variety of sources and structures.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being; eligibility varies by employment status and management level.
- 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
Senior
