Principal Associate, Data Science
Capital One
AWSCloudPythonScalaSparkSQL
Senior Data Scientist, NLP
Capital One
full-time
Posted on:
Location Type: Office
Location: McLean • California, New York, Virginia • 🇺🇸 United States
Visit company websiteSalary
💰 $133,000 - $165,600 per year
Job Level
Senior
Tech Stack
AWSCloudPythonPyTorchScalaSQL
About the role
- Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.
- Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
- Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
- Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
- Experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies.
- Train language models or large computer vision models and apply subdomain expertise
Requirements
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
- A 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
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) (preferred)
- Experience working with AWS (preferred)
- At least 2 years’ experience in Python, Scala, or R (preferred)
- At least 2 years’ experience with machine learning (preferred)
- At least 2 years’ experience with SQL (preferred)
- Hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms
- Experience in training language models or large computer vision models
- Expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF
- Experience in delivering libraries, platforms, or solution level code to existing products
- Comfortable with advanced ML and DL technologies including language models
- Technical proficiency with Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs (implied)
Benefits
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website .
- This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonScalaRmachine learningSQLNatural Language ProcessingLarge Language Modelstraining optimizationself-supervised learningexplainability
Soft skills
interpersonal skillscommunication
Certifications
Bachelor's DegreeMaster's DegreePhD
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