![]() Capital One promotes a drug-free workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. Learn more at the Capital One Careers website. Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)Īt least 2 years’ experience in Python, Scala, or RĪt least 2 years’ experience with machine learningĮxperience in advanced statistical modeling and optimization such as linear regression, logistic regression, tree-based modeling, generalized additive models, Bayesian statistics, time-series, non-parametric, optimization, experimental designĬapital One will consider sponsoring a new qualified applicant for employment authorization for this position.Ĭapital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.īachelor’s Degree plus 2 years of experience in data analytics, or Master’s Degree, or PhDĪt least 1 year of experience in open source programming languages for large scale data analysisĪt least 1 year of experience with machine learningĪt least 1 year of experience with relational databases You continually research and evaluate emerging technologies. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. You know how to interpret a confusion matrix or a ROC curve. ![]() You’ve built models, validated them, and backtested them. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. You’re comfortable with open-source languages and are passionate about developing further. You know at the end of the day it’s about making the right decision for our customers. You love the process of analyzing and creating, but also share our passion to do the right thing. ![]() Leverage a broad stack of technologies - Python, Conda, AWS, Spark, and more to stay up-to-date on the latest cutting-edge technologies - to reveal the insights hidden within huge volumes of numeric and textual dataīuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationįlex your interpersonal skills to translate the complexity of your work into tangible business goalsĬustomer first. You will be part of a cross-functional team of data scientists, business analysts, and software engineers to deliver world-class analytical or modeling solutions to solve complex business problems ![]() The Data Science team is driving every stage of business strategy and product development, ranging from marketing and personalization, underwriting, pricing, valuation, loss forecasting, image recognition, text analytics. We face the unique challenge of building products to directly serve dealerships and consumers, while also building robust modeling systems to manage our lending risks. Our team has a relentless focus on the craft of modeling and innovation, 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.Ĭapital One's Auto Finance business has been growing massively year over year on the heels of a robust strategic agenda advancing our technological capabilities to bring the best possible experience to our customers. 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.Īs a Data Scientist at Capital One's Auto Finance business, you’ll be part of a high performing modeling and analytics team that’s leading the next wave of disruption at a whole new scale. Data is at the center of everything we do.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |