Data Science Leader
6 days ago
Data is at the forefront of everything we do at Capital One.
SalaryThe estimated annual salary for this role in Illinois ranges from $153,900 to $175,700, while in New York City, it ranges from $165,100 to $188,500. This position may also be eligible for performance-based incentive compensation.
Job DescriptionThis Data Scientist role involves operating at the cutting edge of machine learning, designing tools and processes that enable rapid delivery of robust statistical models. You will partner with a cross-functional team to deliver products customers love, leveraging a broad stack of technologies to reveal insights hidden within huge volumes of numeric and textual data.
You will build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. This requires staying current on published state-of-the-art methods, technologies, and applications and seeking out opportunities to apply them.
Required Skills and QualificationsTo succeed in this role, you must have at least 1 year of experience in open-source programming languages for large-scale data analysis, as well as 1 year of experience with machine learning and relational databases. A Master's Degree in a STEM field plus 3 years of experience in data analytics is preferred.
- Operate at the cutting edge of machine learning in Capital One's US Card business.
- Design the tools and processes that enable rapid delivery of robust statistical models.
- Leverage a broad stack of technologies to reveal insights hidden within huge volumes of numeric and textual data.
Candidates hired for this role will be eligible for a comprehensive benefits package, including health insurance, financial assistance, and other perks.
Other OpportunitiesThis role offers a unique chance to work with a talented team of data scientists and contribute to the development of innovative solutions. You will have the opportunity to grow professionally and personally, working on challenging projects and collaborating with experts in the field.
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