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Principal Data Scientist, Experimentation & Personalization

Capital One
San Francisco, CA
Full-time

Description

We are the data science team whose ML projects are leveraged for all customer facing messaging on Capital One’s homepage and mobile app.

We build personalized recommendation engines while optimizing and learning using both multi-armed bandits and A / B / n testing.

Our areas of research include reinforcement learning, recommender systems, causal inference, and deep learning with a focus on transformers.

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, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, 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 for our customers.

Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities

28 days ago
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