Description
As a Senior Associate, Data Scientist on the Consumer Credit Risk Models and Data Team at Capital One, you will be at the forefront of using the latest technology to deploy, optimize, and modernize model pipelines and execution platforms that enable machine learning models to provide powerful insights about our portfolio and growth opportunities through new data sources.
You will partner with best-in-class data scientists, analysts, and engineers to innovate solutions that directly impact the company's bottom line in a meaningful way. You will work in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation.
Key Responsibilities:
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage a broad stack of technologies , Python, Conda, AWS, H2O, Spark, and more , to reveal the insights hidden within huge volumes of numeric and textual data
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Translate the complexity of your work into tangible business goals
Ideal Candidate:
- Innovative, with experience researching and evaluating emerging technologies
- Creative, with a passion for solving big, undefined problems
- Technical, with hands-on experience developing data science solutions using open-source tools and cloud computing platforms
- Statistically-minded, with experience building models, validating them, and backtesting them
- A data guru, with skills to retrieve, combine, and analyze data from a variety of sources and structures
Qualifications:
- Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field plus 2 years of experience performing data analytics
- Master's Degree in a quantitative field or an MBA with a quantitative concentration
Preferred Qualifications:
- Master's Degree in STEM field or PhD in STEM field
- Experience working with AWS
- At least 2 years' experience in Python, Scala, or R
- At least 2 years' experience with machine learning
- At least 2 years' experience with SQL
Salary Information:
- McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science
Benefits:
- Comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being