Senior Data Scientist at Epicor responsible for designing, building, and deploying ML solutions that empower customers. Collaborating across teams to ensure ML solutions deliver measurable value.
About the role
- Data Scientist at Capital One leveraging AI for innovative customer financial solutions. Collaborating with cross-functional teams to build AI powered products utilizing advanced technologies.
Responsibilities
- Partner with a cross-functional team of data scientists, applied researchers, 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, Hugging Face, AWS Ultraclusters, LangChain, 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 business specific applications and features.
- Build 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.
Requirements
- Bachelor’s Degree plus 2 years of experience in data analytics, or Master’s Degree, or PhD
- At least 1 year of experience in open source programming languages for large scale data analysis
- At least 1 year of experience with machine learning
- At least 1 year of experience with relational databases
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
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