Principal Associate, Data Scientist
Retail Bank
PrincipalAssociate,DataScientist-RetailBankMarketing
Neural analysis suggests this role is
optimal for Associate candidates.
“Principal Associate, Data Scientist - Retail Bank Marketing at Principal Associate, Data Scientist. Skills: machine learning models, data science solutions, model development, next-generation model architectures. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. Explore next-generation model architectures (e. g. embeddings, sequence models) to unlock value in our marketing efficiency”
What You'll Achieve.
make our marketing more efficient; unlock the big opportunities that help everyday people save money, time and agony in their financial lives; provide long term value
Industry & Context.
Statistically-minded; Creative; 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 5 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 3 years of experience performing data analytics, PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Nice to Have
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, PhD in “STEM” field (Science, Technology, Engineering, or Mathematics), At least 3 years’ experience in Python, At least 3 years’ experience with machine learning, At least 3 years’ experience with SQL
What You'll Do.
Build machine learning models through all phases of development
from design through training
Explore next-generation model architectures (e. g. embeddings
sequence models) to unlock value in our marketing efficiency
Work closely with subject matter experts to deliver flexible
well managed models that perform well under a variety of economic conditions
Translate business goals into data science solutions
How You'll Work.
Team & Collaboration
Work closely with subject matter experts; communicate with senior stakeholders
Communication Scope
communicate with senior stakeholders; communicating technical details to a variety of audiences
Full Job Description
Principal Associate, Data Scientist - Retail Bank Marketing 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 marketing data science team in the Retail Bank builds the machine learning models that make our marketing more efficient: how much to spend on each digital marketing channel, the optimal product and channel to market each customer, and the estimated value of new accounts. We do data and model pipelining, machine learning, and well-managed model operations using Python and ML libraries in our tech stacks. If you enjoy the challenge of creating best-in-class solutions that provide long term value in a rapidly changing space, this is the role for you. **Role Description** **In this role, you will:** * Work closely with subject matter experts to deliver flexible, well managed models that perform well under a variety of economic conditions * Translate business goals into data science solutions and communicate with senior stakeholders * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Explore next-generation model architectures (e.g. embeddings, sequence models) to unlock value in our marketing efficiency **The Ideal Candidate is:** * Technical.
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