Principal Associate, Data Scientist -Financial Services
About The Position
Capital One is seeking a Principal Associate, Data Scientist to use data science and machine learning to help deliver customer-focused financial products. The role works across large volumes of numeric and textual data and collaborates with data scientists, software engineers, and product managers. The Data Scientist uses technologies including Python, Conda, AWS, H2O, and Spark to find insights in data and build machine learning models through the full development lifecycle: design, training, evaluation, validation, and implementation. The role also requires translating complex technical work into tangible business goals. The ideal candidate is customer-focused, innovative, creative, and a leader who challenges conventional thinking and supports talent development. They have hands-on experience developing data science solutions with open-source tools and cloud platforms, strong statistical and modeling skills, and the ability to retrieve, combine, and analyze data from varied sources and structures.
Requirements
- Currently hold or be in the process of obtaining, by the scheduled start date, a bachelor's degree in a quantitative field and at least 5 years of experience performing data analytics; or a master's degree in a quantitative field or an MBA with a quantitative concentration and at least 3 years of experience performing data analytics; or a PhD in a quantitative field.
- Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- Experience building, validating, and backtesting models, and interpreting confusion matrices and ROC curves.
- Experience with clustering, classification, sentiment analysis, time series, and deep learning.
- Ability to retrieve, combine, and analyze data from a variety of sources and structures.
Nice To Haves
- A master's degree in a STEM field plus 3 years of experience in data analytics, or a PhD in a STEM field.
- At least 1 year of experience working with AWS.
- At least 3 years of experience in Python, Scala, or R.
- At least 3 years of experience with machine learning.
- At least 3 years of experience with SQL.
Responsibilities
- Partner with data scientists, software engineers, and product managers to deliver products customers love.
- Use technologies such as Python, Conda, AWS, H2O, and Spark to identify insights in large volumes of numeric and textual data.
- Build machine learning models through design, training, evaluation, validation, and implementation.
- Translate complex technical work into tangible business goals.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being.
- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
