Principal Data Scientist

Capital One•Mclean, VA

29d

About The Position

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 100 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Corporate Strategy team advises our company's CEO and senior leadership on the most critical decisions facing the company across financial services, technology, and beyond. We engage in a discrete number of high impact issues that drive the performance and direction of the company. Projects focus primarily on formulating enduring and profitable growth and value enhancement strategies and then working with our business and staff teams to ensure the maximum impact. The Integrated Data Engineering, Analysis, and Science-IDEAS-team within Corporate Strategy, creates insights on consumer behavior, market conditions, and peer performance by analyzing and applying statistical modeling and machine learning to a wealth of customer-level and market-level data. In this high visibility role, you will work on a diverse set of strategic projects based on the top of house priorities leveraging your data science skills. Role Description In this role, you will: Partner with a cross-functional team of data scientists, data analysts, software 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.

Requirements

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

Nice To Haves

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
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

Responsibilities

Partner with a cross-functional team of data scientists, data analysts, software 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

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