Locations: NY - New York, United States of America, New York,
New York Principal Associate, Data Science 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
As a Data Scientist on Capital One’s People Analytics team,
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. The People Analytics Talent Assessment & Analytics team
builds models that help Capital One assess and select great talent.
We partner with vendors to implement world class assessment
solutions for the business, as well as develop our own. We derive
insights, build models and develop strategies using Python, AWS,
and other open-source technology. We deliver analytics to internal
customers in intelligent and real time custom web applications.
In this role, you will:
Build models and perform analyses centered on helping Capital
One assess and select great talent.
These could include:
Building custom models to assess quality of hire for a given
function or more broadly, all in service of developing better
candidate assessment solutions
Optimizing each aspect of our recruiting operation from
assessing, selecting and hiring candidates to sourcing & engaging
Supporting our efforts to deploy assessment technologies using
best in class fairness methods.
Leverage a broad stack of technologies — Python, AWS, GitHub
RedShift, and more — to reveal the insights hidden within huge
volumes of recruiting data
Build predictive models through all phases of development, from
design through training, evaluation, validation, and
Writing white papers that explain predictive models you have
Flex your interpersonal skills to translate the complexity of
your work into tangible business outcomes
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
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, 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.