
Director, Data Science – Consumer and Developer Experience
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in California, +3 more states.
• Assist in advancing strategic objectives for Consumer and Developer Experience as a member of the product strategy team.
• Collaborate with software engineers, business analysts, and product managers to create customer-centric products that drive business impact.
• Address strategic and analytical inquiries, providing insights that shape business choices.
• Create prototypes and work alongside product and engineering teams to convert concepts into scalable digital experiences.
• Utilize Python, Conda, AWS, H2O, Spark, and other technologies to process extensive volumes of numeric and textual data.
• Construct machine learning models through design, training, evaluation, validation, and implementation.
• Convert intricate data science tasks into concrete business objectives.
• Investigate and assess emerging technologies while applying cutting-edge methodologies.
• Challenge traditional thinking and work with stakeholders to identify areas for improvement.
• Foster talent development within the team and beyond.
• Currently holds, or is in the process of acquiring, the necessary degree by the scheduled start date.
• Bachelor's degree in a quantitative field with 9 years of experience in data analytics; or a Master's degree in a quantitative field or an MBA with a quantitative focus plus 7 years of experience; or a PhD in a quantitative field with 4 years of experience.
• A minimum of 4 years of experience using open-source programming languages for large-scale data analysis.
• At least 4 years of experience in machine learning.
• A minimum of 4 years of experience with relational databases.
• Practical experience in developing data science solutions utilizing open-source tools and cloud computing platforms.
• Familiarity with clustering, classification, sentiment analysis, time series, and deep learning.
• Experience in building, validating, and backtesting models; as well as interpreting confusion matrices and ROC curves.
• Preferred: PhD in STEM with 5 years of experience in data analytics.
• Preferred: At least 1 year of experience with AWS.
• Preferred: A minimum of 3 years of experience in people management.
• Preferred: At least 5 years of experience in Python, Scala, or R for large-scale data analysis.
• Preferred: At least 5 years of experience in machine learning.
• Capital One will consider sponsoring a new qualified applicant for employment authorization.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI).
• Comprehensive, competitive, and inclusive health, financial, and other benefits that promote overall well-being.
• Employment authorization sponsorship may be considered for a new qualified applicant.
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