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Senior Data Scientist – US Card
Capital One. Partner with data scientists, software engineers, and product managers to deliver customer-focused products .
Tech Stack
Tools & technologiesAWSPythonScalaSpark
About the role
Key responsibilities & impact- Partner with data scientists, software engineers, and product managers to deliver customer-focused products
- Use Python, Conda, AWS, H2O, Spark, and other technologies to analyze large volumes of numeric and textual data
- Build machine learning models through design, training, evaluation, validation, and implementation
- Translate complex data science work into tangible business goals
- Develop real-time customer behavioral prediction and valuation forecasting solutions for the US Card customer management business
- Collaborate with cross-functional teams including business, engineering, analytics, data science/quants, and product teams
- Develop talent within the team and beyond
Requirements
What you’ll need- Bachelor's degree in a quantitative field plus 7 years of experience performing data analytics, or Master's degree/MBA with quantitative concentration plus 5 years, or PhD in a quantitative field plus 2 years
- Required degree must be obtained on or before the scheduled start date
- At least 2 years of experience leveraging open-source programming languages for large-scale data analysis
- At least 2 years of experience working with machine learning
- At least 2 years of experience utilizing relational databases
- Capital One will consider sponsoring a new qualified applicant for employment authorization
- Preferred: PhD in STEM plus 4 years of data analytics experience
- Preferred: At least 1 year of experience with AWS
- Preferred: At least 1 year of experience managing people
- Preferred: At least 5 years of experience with Python, Scala, or R for large-scale data analysis
- Preferred: At least 5 years of experience with machine learning
Benefits
Comp & perks- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
- Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
- Reasonable accommodations for applicants who require them