Capital One
Manager,DataScience-PULSENetwork,BusinessIntelligence
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“Manager, Data Science - PULSE Network, Business Intelligence at Capital One. Skills: Data Science, Machine Learning, Statistical Modeling, Business Intelligence, Data Analysis. Deliver data-driven insights that support strategic business decisions. Transform complex large data into actionable intelligence”
What You'll Achieve.
Optimize pricing strategies; Protect and grow revenue; Strengthen relationships with partners; Improve overall business performance
Industry & Context.
Bring definition to 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 and statistical modeling techniques., At least 4 years’ experience with SQL, Experience with large-scale transaction datasets.
What You'll Do.
Deliver data-driven insights that support strategic business decisions
Transform complex large data into actionable intelligence
Optimize pricing strategies
Protect and grow revenue
Strengthen relationships with partners
Improve overall business performance
Support pricing strategy through advanced analytics
Partner with a cross-functional team of pricing analysts
data analysts and data engineers to optimize revenue
Leverage a broad stack of technologies 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
How You'll Work.
Team & Collaboration
Partner with a cross-functional team of pricing analysts, finance analysts, data analysts and data engineers; Work closely with Pricing, Analytics and Relationship management, product and finance teams
Communication Scope
Translate the complexity of your work into tangible business goals
Full Job Description
Manager, Data Science - PULSE Network, Business Intelligence 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 **Manager, Data Science** 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:** As a Data Scientist in the **PULSE Business Intelligence** team, you will work closely with Pricing, Analytics and Relationship management, product and finance teams to deliver data-driven insights that support strategic business decisions. We focus on transforming complex large data into actionable intelligence that helps optimize pricing strategies, protect and grow revenue, strengthen relationships with partners and improve overall business performance. We are seeking a Data Scientist to support pricing strategy through advanced analytics, predictive modeling. **In this role, you will:** * Partner with a cross-functional team of pricing analysts, finance analysts, data analysts and data engineers to optimize revenue. * 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
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