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 on Capital One’s People Analytics team, you'll be part of a mission critical talent system review team providing key insights to stakeholders at the highest levels of the organization. This role offers a unique opportunity to contribute to policy decisions that affect all of Capital One's current and future associates.
You’ll be on the leading edge of applying analytics to talent, combining machine learning and social science to build strategies that expand Capital One’s talent advantage.
The People Analytics Center of Excellence at Capital One is a 75 person cross-functional team of analysts, consultants, and data scientists. Within People Analytics, the Talent Systems Review team engages with key partners from Human Resources and Legal to build models that help Capital One review processes such as compensation, promotion, and performance. We utilize Python, SQL, AWS, and Tableau to build modular, scalable, statistical models, reporting infrastructure, and dashboards that will provide key insights about our talent systems. Insights will drive decisions at the highest levels of Capital One and will help shape policy impacting our associates.
In this role, you will:
Build models and perform analyses centered on helping Capital One assess our talent systems.
Leverage a broad stack of technologies — Python, AWS, GitHub RedShift, and more
Build predictive models through all phases of development, from design through training, evaluation, validation, and implementation
Writing white papers that explain predictive models you have developed
Flex your interpersonal skills to translate the complexity of your work into tangible insights and policy recommendations
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 regression, clustering, classification, sentiment analysis, time series, NLP and deep learning.
Bachelor’s Degree plus 5 years of experience in data analytics, or Master’s Degree plus 3 years in data analytics, or PhD
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
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
At least 1 year of experience working with AWS
At least 1 year experience with NLP
At least 3 years’ experience in Python, Scala, or R
At least 3 years’ experience with machine learning
At least 3 years’ experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Who We Are
At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.
Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.