Location: Plano, TX, United States

Are you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world problems?

 As a Data Owner Senior Associate, you'll leverage AI and ML to make data AI-ready. Youll be leveraging Large Language Models, predictive models and generative AI solutions with the Consumer and Community Bank (CCB) Operations Data Owner team. The CCB Data & Analytics team responsibly leverages data from across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Job Responsibilities: 

• Use your programming skills in Python and design integrated solutions for AI-readiness of data. Leverage python libraries, LLMs, and vendor solutions to enable seamless integration of AIML models with business data needs. 
• Design and demonstrate POCs for making structured and unstructured data AI-ready. Build and iterate on prototype solutions. 
• Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions. 
• Closely collaborate with Engineering and Data Science to productionalize your POCs.
• Analyze diverse data assets and sources to prioritize, developing insights that lead to actionable recommendations for sequencing. 

 

Required qualifications, capabilities and skills: 

• Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science). 
• 5+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering, Retrieval Augmented Generation (RAG).  
• Strong Proficiency in Python. 
• Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis.  
• Proficiency with data table operations (SQL, etc.).  
• Experience designing, building and maintaining ETL data pipelines using tools such as SQL, Python, and Alteryx. 
• Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards. 

 

Are you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world problems?