Manager, Data Scientist

Manager,DataScientist-CreditReview

$179–205k McLean, Virginia, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Manager, Data Scientist - Credit Review at Manager, Data Scientist. Skills: Data Science, Machine Learning, Statistical Modeling. Leverage a broad stack of technologies, such as, Python, Conda, AWS, H2O, Spark, and more, to reveal the insights hidden within huge volumes of numeric and textual data. Build statistical and machine learning models to challenge the models in production”

What You'll Achieve.

drive the best outcomes in both Risk Management and the Enterprise; deliver a product customers love; unlock the big opportunities that help everyday people save money, time and agony in their financial lives

Industry & Context.

Problems you'll solve

data-driven decision-making; find new ways of making better decisions with models; challenge the models in production; bringing definition to big, undefined problems; asking questions and pushing hard to find answers

What They're Looking For.

Must Have

Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics, Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics, PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics, At least 1 year of experience leveraging open source programming languages for large scale data analysis, At least 1 year of experience working with machine learning, At least 1 year of experience utilizing relational databases

Nice to Have

PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, At least 4 years’ experience in Python, Scala, or R for large scale data analysis, At least 4 years’ experience with machine learning, At least 4 years’ experience with predictive modeling

What You'll Do.

Leverage a broad stack of technologies

to reveal the insights hidden within huge volumes of numeric and textual data

Build statistical and machine learning models to challenge the models in production

Translate the complexity of your work into tangible business goals

Partner with a cross-functional team of data scientists

and product managers to deliver a product customers love

How You'll Work.

Team & Collaboration

Partner with a cross-functional team of data scientists, credit risk experts, and product managers; collaborative environment

Communication Scope

translate the complexity of your work into tangible business goals

Full Job Description

Manager, Data Scientist - Credit Review 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** In Capital One’s Credit Review Models, Data and Innovative solutions team, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand that we can’t prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. We partner with best-in-class data scientists, analysts, credit risk management experts, and engineers to innovate solutions that directly impact the company’s bottom line in a meaningful way. We do it all in a collaborative environment that values individual insight, encourages each associate to take on new responsibilities, promotes continuous learning, and rewards innovation. **Role Description** **In this role, you will:** * Leverage a broad stack of technologies, such as, Python, Conda, AWS, H2O, Spark, and more, to reveal the insights hidden within huge volumes of numeric and textual data * Build statistical and machine learning models to challe

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