Senior Associate Data Scientist

Join the MLIO Analytics team as a Data Scientist Senior Associate and drive innovation in Conversational AI by optimizing machine learning and LLM-powered products.

Leverage advanced analytics, collaborate across teams, and deliver actionable insights that transform customer engagement and operational efficiency at Chase.

As a Data Scientist Senior Associate within the MLIO Analytics team, you will optimize Conversational Insights and Coaching products powered by machine learning and LLM.

You will lead end-to-end analyses spanning the entire problem-solving lifecycle, develop model POC, identify gaps, conduct root cause investigations, develop prototype solutions, gather and analyze complex data, quantify business value through A/B test or non-randomized pilot, generating actionable insights and delivering presentations to product teams.

The role also involves enabling customer self-service across Chase engagement channels.

Job Responsibilities:


* Enhance LLM model performance across AWS and on-premises environments through comprehensive data analysis.


* Automate reporting, transform complex datasets, and analyze business drivers to improve operational processes.


* Collaborate with cross-functional teams to validate hypotheses and identify production issues.


* Present clear, actionable insights to stakeholders at all levels.


* Resolve data and model development issues proactively.


* Develop SQL and Python codebases and maintain clear documentation.


* Develop proof-of-concept solutions using machine learning or large language models to generate actionable insights.


* Support agile teams in new product development with analytics expertise.

Required qualifications, capabilities, and skills:


* Bachelor's degree in Economics, Data Science, Data Analytics, Statistics, or STEM field with 6+ years of analytics experience in financial services/operations, or Master's degree with 3+ years of relevant experience.


* Proficiency in Python and SQL programming, strong communication and presentation skills, and a detail-oriented, collaborative approach.


* Experienced in developing traditional machine learning models (ML) and Natural Language Processing (NLP), designing prompts, and fine-tuning large language models (LLM).


* Experience with Excel PivotTable, PowerPoint, Tableau, Alteryx, AWS, Spark/EMR, ChatGPT, Confluence, and Snowflake.


* Collaborative team player with a high level of curiosity and the ability to operate independently.


* Trained in machine learning, multivariate statistics, regression analysis, and data visualization.


* Excellent communication skills, with the ability to develop and deliver concise presentations that clearly articulate challenges, actions, and results for complex issues-creating clarity and driving action among key stakeholders.

Skilled at synthesizing data into actionable insights for executive leadership.


* Good understanding of IT processes...