Director, Data Science – Consumer and Developer Experience

Posted 1 day ago

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• 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.


⛳️ Requirements

• 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.


🏝️ Benefits

• 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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