Description
As a Manager, Data Scientist at Capital One, you will lead the next wave of disruption in the credit card industry using the latest in computing and machine learning technologies.
The US Card Data Science team builds industry-leading machine learning models to empower core underwriting decisions in the acquisitions and management of new and existing credit card customers.
In this role, you will:
- 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 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
The ideal candidate is:
- Creative, with a passion for bringing definition to big, undefined problems
- A leader, with experience challenging conventional thinking and working with stakeholders to identify and improve the status quo
- 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
Basic qualifications include:
- A Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics
- A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
- A PhD in a quantitative field plus 1 year of experience performing data analytics
- At least 1 year of experience leveraging open-source programming languages for large-scale data analysis
- At least 1 year of experience working with machine learning
- At least 1 year of experience utilizing relational databases
Preferred qualifications include:
- PhD in a STEM field plus 3 years of experience in data analytics
- At least 1 year of experience working with AWS
- At least 4 years of experience in Python, Scala, or R for large-scale data analysis
- At least 4 years of experience with machine learning
- At least 4 years of experience with SQL
The salary range for this role is: Cambridge, MA: $197,300 - $225,100 McLean, VA: $197,300 - $225,100 New York, NY: $215,200 - $245,600
This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.