Senior Manager, Data Science – GenAI Digital Assistant
Capital One
full-time
Posted on:
Location Type: Office
Location: San Jose • California, New York, Virginia • 🇺🇸 United States
Visit company websiteSalary
💰 $225,400 - $280,600 per year
Job Level
Senior
Tech Stack
AWSOpen SourcePySparkPython
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 developers write software
- Lead cutting-edge research and development in Generative AI (GenAI) to enhance conversational AI capabilities and build scalable, futuristic digital assistant solutions
- Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications, inference optimization, and multi-agentic workflows
- Leverage a broad stack of technologies — Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more
- Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features
- Drive innovation by designing, training, evaluating, and deploying state-of-the-art NLP models, partnering with engineering teams to integrate them into scalable and resilient production systems
- Translate complex AI/ML research into tangible business outcomes, improving customer experience through real-time, intelligent digital assistance
Requirements
- Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 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 5 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 2 years of experience performing data analytics
- At least 2 years of experience leveraging open source programming languages for large scale data analysis
- At least 2 years of experience working with machine learning
- At least 2 years of experience utilizing relational databases
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well-being
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonAWSPysparkLangChainLangGraphHuggingFace TransformersvLLMVectorDBsNatural Language ProcessingLarge Language Models
Soft skills
cross-functional collaborationinnovationcommunicationleadershipproblem-solving
Certifications
Bachelor's DegreeMaster's DegreePhD