at Capital One in Chicago, Illinois, United States
Job Description
Job ID: R168237
Locations: VA - McLean, United States of America, McLean, Virginia
Senior Associate, Data Science
Senior 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 200 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 Emerging ML team is focused on building horizontal machine learning capabilities that drive value across business use cases. Our focus is on models, features, and code that are scalable, robust, and generalizable. A key focus of our team is working the Enterprise partners such as the Enterprise Model Platform and Enterprise Feature Platform. The Embedding team under Emerging ML is specifically focused on deep learning based embedding technology to convert complex data to embedding vectors for multiple downstream use cases. The team uses a wide array of tools including Tensorflow/keras and PyTorch.
Role Description
In this role, you will:
Lead work developing models and processes for monitoring the inputs and outputs of other models.
Be a hands-on thought leader in a team of data scientists building models to be used in applications across the enterprise.
"Lead from within Github", hands-on, contributing a strong technical perspective to the work.
Partner with a cross-functional team of data scientists, data analysts, software engineers, and product managers to deliver a machine learning product our partners love.
The Ideal Candidate:
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.
A data guru. "Big data" doesn't phase 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:
Bachelor's Degree plus 2 years of experience in data analytics, or Master's Degree, 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
Preferred Qualifications:
Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics), or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)
Experience working with AWS
At least 2 years' experience in Python, Scala, or R
At least 2 years' experience with machine learning
At least 2 years' experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
No agencies please. Capital One is an Equal Opportunity Employer committed to diversity... For full info follow application link.
Capital One is an equal opportunity employer committed to diversity in the workplace. Capital One promotes a drug-free workplace.
All qualified applicants will receive consideration for employment without regard to gender, race, color, religion, national origin, sexual orientation, protected veteran status, or disability status.
Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; Newark, New Jersey Ordinance 12-1630; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
