Capital One Principal Data Scientist 

United States, Virginia, Arlington 

291899096

In this role, you will:

• data analysts, data engineers, Machine Learning engineers, and business partners to deliver actionable insights that drive Capital One's strategies.

• Leverage a broad stack of technologies — Python, R, Jupyter, 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

• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.

• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

• Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

• A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

• Currently has, or is in the process of obtaining a Bachelor’s Degree plus 2 years of experience in data analytics, or currently has, or is in the process of obtaining Master’s Degree, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start date

• 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

Preferred Qualifications:

• Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), 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

A successful candidate will be:

• Possesses the Data Science trifecta of job specific skills: great data expertise, amazing data and software engineering skills, and terrific modeling skills

• A source of positive energy, inspiration and motivation for financial services

• Action oriented, always leaning in and moving with a sense of urgency

• A multi-tasker, able to handle multiple priorities in parallel, and extremely well organized

• A self-confident, self-starter, and strategic thinker

• Able to build strong, trusted relationships and operate in an influential manner with executives to assist in driving the strategic agenda

• A strong facilitator, negotiator and mediator, with the ability to drive to consensus

• Highly collaborative (comfortable partnering with all levels of the organization)

• Experienced at seeing patterns and commonalities that can create a bigger picture out of small pieces, anticipating what’s around the corner

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.