Capital One

Financial Services

Manager,DataScientist-BureauDataStrategy

$197–225k McLean, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Manager, Data Scientist - Bureau Data Strategy at Capital One. Skills: Statistical modeling, Machine learning, Data analysis, Open-source languages, Cloud computing platforms. Generating insights from Bureau Data. Extracting value from Bureau Data”

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

Analyze data to reveal hidden insights; Understand the data is often the key to great data science

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.

Generating insights from Bureau Data

Extracting value from Bureau Data

Shaping the future of how credit bureau data is used in underwriting

Building machine learning models through all phases of development

and analyzing data from a variety of sources and structures

How You'll Work.

Team & Collaboration

Partner with a cross-functional team of data scientists, software engineers, and product managers; Work with stakeholders to identify and improve the status quo

Communication Scope

Translate the complexity of your work into tangible business goals

Full Job Description

Manager, Data Scientist - Bureau Data Strategy 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** __** Credit bureau data is at the heart of underwriting decisions at US Card. The Bureau Data Strategy team produces one of the most highly-used datasets in all of Capital One from raw credit bureau data. The team is responsible for generating insights, extracting value from Bureau Data and shaping the future of how credit bureau data is used in underwriting at Capital One. _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:**** * Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision

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