Principal Associate – Data Scientist
Capital One
AWSPythonScalaSparkSQL
Manager, Data Science – LLM Customization Team
Capital One
full-time
Posted on:
Location Type: Office
Location: McLean • California, Massachusetts, New York, Virginia • 🇺🇸 United States
Visit company websiteSalary
💰 $193,400 - $240,800 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSOpen SourcePythonPyTorchScalaSQL
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
Requirements
- A 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
- 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 plus 4 years of experience performing data analytics
- A 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
- PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- Experience working with AWS
- At least 4 years’ experience in Python, Scala, or R
- At least 4 years’ experience with machine learning
- At least 4 years’ experience with SQL
Benefits
- comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
- performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Natural Language ProcessingLarge Language Modelsmachine learningdata analyticsPythonScalaRSQLrelational databasesstatistical analysis
Soft skills
interpersonal skillscommunicationcollaborationproblem-solvingbusiness acumen
Certifications
Bachelor's DegreeMaster's DegreePhD
