Data Scientist Senior Associate

Testing Site - JPMC; Wilmington (DE); On-site; USD 140,000 - 200,000; Full time

Job summary

Testing Site - JPMC's Data Science team in Wilmington, DE is seeking a Data Science Senior Associate to develop scalable AI/ML tools that integrate LLMs, predictive models and generative AI within the AML/KYC product.

You design, deploy and maintain AI solutions, build APIs for model integration, and produce production-ready Python code while adhering to firm-wide AIML standards and regulatory requirements.

Qualifications

• Degree in quantitative discipline (e.g., CS, Math, Operations Research, Data Science).
• 5+ years creating predictive models and generative AI solutions with LLMs and RAG.
• Strong proficiency in Python.
• Experience with LLM APIs and libraries for data manipulation and modeling.
• Proficiency with SQL and data table operations.
• Experience building ETL pipelines with SQL, Python, and Alteryx.
• Knowledge of data architectures for generative AI.
• Experience evaluating ML and generative AI and building monitoring dashboards.

Responsibilities

• Design, develop and deploy AIML solutions within the AML/KYC product suite.
• Build and maintain APIs for AIML model integration.
• Use Python to design integrated AIML solutions.
• Document solutions to firm-wide AIML standards.
• Analyze diverse data assets to inform decisions.
• Build and iterate on prototype AIML solutions.
• Develop production-ready code for AIML models and analytics.
• Collaborate with SMEs to optimize data for AIML.
• Understand regulatory requirements and align with firm policies.

Skills

Python

LLM prompt engineering

RAG

Predictive modeling

Generative AI

Data analysis

API design

ETL pipelines

SQL

Pandas

NumPy

scikit-learn

Data architecture

Monitoring dashboards

Education

Bachelor's degree in quantitative discipline

Tools

Pandas

NumPy

scikit-learn

LLM APIs

SQL

Job description

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

As a Data Science Senior Associate, you'll develop scalable tools that integrate Large Language Models, predictive models and generative AI solutions with the Consumer and Community Bank Anti Money Laundering (AML) and Know Your Customer (KYC) Product.

Job Responsibilities

• Design, develop and deploy AI solutions (classical and generative AI) within the Control and Oversight Product suite of applications.
• Build and maintain APIs to enable seamless integration of AIML models with business applications.
• Use your programming skills in Python and design integrated solutions using the latest technology.
• Ensure all solutions are well documented and aligned with firm wide standards for AIML solutions.
• Analyze diverse data assets and sources to optimize business decisions, developing insights that lead to actionable recommendations for management.
• Build and iterate on prototype solutions.
• Develop robust, production-ready code for AIML models and analytical applications.
• Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions.
• Understand and apply knowledge of role-related risks, keeping abreast of current regulatory requirements and acting in the shareholder's best interest. Ensure alignment with Firm wide policies and standards governing AIML solutions.

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.
• Demonstrated knowledge of data architecture that is ideal for generative AI solutions.
• Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards.