Data Scientist: Enhance Business Performance with Emerging Risks
6 days ago
Company Overview
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and cutting-edge technology. Fast-forward a few years, and this little innovation has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
Salary
The estimated annual salary for this role in New York City (Hybrid On-site) ranges from $165,100 to $188,500 for Principal Associate, Data Science.
Job Description
We're seeking a talented Data Scientist to join our team focusing on developing next-generation Card risk models. These models will capture emerging risks more quickly and accurately for all card products. You'll work closely with a cross-functional team to deliver a product customers love and leverage a broad stack of technologies to reveal insights hidden within huge volumes of numeric and textual data.
Required Skills and Qualifications
- At least 1 year of experience in open source programming languages for large scale data analysis
- At least 1 year of experience with machine learning
- At least 1 year of experience with relational databases
- A Master's Degree in 'STEM' field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in 'STEM' field (Science, Technology, Engineering, or Mathematics)
- At least 3 years' experience in Python, Scala, or R
- At least 3 years' experience with machine learning
- At least 3 years' experience with SQL
Benefits
Candidates are eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan.
Others
Capital One offers a comprehensive set of health, financial, and other benefits that support your total well-being. Learn more about these benefits on the Capital One Careers website.
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