Senior Associate, Data Scientist
AI summary of the role
Data Scientist on Capital One's People Strategy & Analytics team applying NLP, LLMs, and ML to talent analytics, associate behavior modeling, and HR tools.
What you’ll do
- Develop NLP/ML models from design to implementation
- Apply LLMs via prompt engineering, RAG, evaluation frameworks
- Partner cross-functionally to deliver HR AI tools
- Leverage Python, SQL, AWS, LangChain, Hugging Face for insights
What you’ll bring
- Bachelor's in quantitative field + 2 years data analytics or Master's/MBA quantitative
- 2+ years Python
- 2+ years machine learning
- 2+ years SQL
Technologies
Python · SQL · AWS · LangChain · Hugging Face Transformers · VectorDBs · Pytorch · TensorFlow · Snowflake · LLMs
Source and classification
Internal deployment & tooling · Evidence for this classification:
critical talent decisions and strategy at Capital One. We work closely with HR partners and senior executives in shaping talent policy, automating real-time data, and improving talent decision-making. The team is comprised of people with diverse skills and backgrounds including: data analysts, data scientists, business analysts, HR specialists, project managers, and industrial/organizational psychologists. As a Data Scientist on Capital One’s People Strategy & Analytics team, you’ll be on the leading edge of applying analytics to talent, combining artificial intelligence, machine learning, and social science to build models that seek to understand associate behavior, improve HR efficiency and tools, and inform strategies aimed at expanding Capital One’s talent advantage. Role Description In this role, you will: Support development of natural language processing and machine learning
More from the job description
Senior Associate, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description People Strategy & Analytics brings data, analytics, and insights to shape critical talent decisions and strategy at Capital One. We work closely with HR partners and senior executives in shaping talent policy, automating real-time data, and improving talent decision-making. The team is comprised of people with diverse skills and backgrounds including: data analysts, data scientists, business analysts, HR specialists, project managers, and industrial/organizational psychologists. As a Data Scientist on Capital One’s People Strategy & Analytics team, you’ll be on the lead [... source excerpt omitted ...] t seek to understand associate behavior, improve HR efficiency and tools, and inform strategies aimed at expanding Capital One’s talent advantage. Role Description In this role, you will: Support development of natural language processing and machine learning models through all phases, from design through training, evaluation, validation, and implementation Apply expertise in using open source large language models (LLMs) through prompt engineering, retrieval-augmented generation (RAG) and evaluation metric frameworks for business specific applications Partner with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deli [... source excerpt omitted ...] them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. Basic Qualifications: 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, Mathemati
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