Capital One

Financial Services

Manager,DataScientist

$197–225k New York, New York, 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 at Capital One. Skills: Machine learning models, Statistical modeling, Data analysis. Build industry leading machine learning models to power credit underwriting decisions. Support emerging business card product strategies”

What You'll Achieve.

Deliver a product customers love; Unlock big opportunities that help everyday people save money, time and agony in their financial lives

Industry & Context.

Financial Services
Problems you'll solve

Problem solve; Define big, undefined problems; Ask questions and push 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 1 year of experience working with AWS, 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 SQL

What You'll Do.

Build industry leading machine learning models to power credit underwriting decisions

Support emerging business card product strategies

Build full-spectrum modeling solutions across customer life cycles

Leverage a broad stack of technologies to reveal insights within data

Build machine learning models through all phases of development

Translate complexity into tangible business goals

How You'll Work.

Team & Collaboration

Partner with a cross-functional team of data scientists, software engineers, and product managers; Collaboration with business stakeholders, product, and software/ML engineering teams

Communication Scope

Translate the complexity of your work into tangible business goals

Full Job Description

Manager, Data Scientist - Business Cards & Payments 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 Business Card & Payments Data Science team builds industry leading machine learning models to power credit underwriting decisions. These models support emerging business card product strategies, and are a key part of our credit infrastructure. This team builds full-spectrum modeling solutions across customer life cycles, engaging in strong collaboration with business stakeholders, product, and software/ML engineering teams, to problem solve and develop innovative approaches that define our long term modeling strategy. ****Role Description:**** In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: * Custom

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