Data Scientist Senior Associate - Applied AI ML

Role Overview:

Join a world-class data science team at JPMorgan Chase and help shape the future of the Chief Administrative Office. As a Data Scientist Senior Associate in the Chief Data & Analytics Office, you will lead the development and deployment of innovative AI and machine learning solutions. Collaborate with cross-functional teams to address complex business challenges, drive adoption of modern ML practices, and ensure responsible AI governance. If you value curiosity, technical excellence, and a passion for solving complex problems, this role is for you.

Key Responsibilities:

• Lead the hands-on design, development, and deployment of advanced AI, GenAI, and large language model solutions.
• Serve as a subject matter expert on a wide range of machine learning techniques and optimizations.
• Collaborate with product, engineering, and business teams to deliver scalable, production-ready AI systems.
• Conduct experiments using the latest ML technologies, analyze results, and tune models for optimal performance.
• Own end-to-end code development in Python for both proof-of-concept and production-ready solutions.
• Integrate generative AI within the ML platform using state-of-the-art techniques.
• Drive adoption of modern ML infrastructure, tools, and best practices.
• Optimize system accuracy and performance by identifying and resolving inefficiencies.
• Communicate technical concepts and results to both technical and business stakeholders.
• Ensure responsible AI practices, model governance, and compliance with regulatory standards.
• Mentor and guide other AI engineers and scientists, fostering a culture of continuous learning.

Qualifications Required:

• Masters or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field.
• Minimum 5 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models.
• Experience programming in Python; experience with ML frameworks such as PyTorch or TensorFlow.
• Proven experience designing, training, and deploying large-scale ML/AI models in production environments.
• Deep understanding of prompt engineering, agentic workflows, and orchestration frameworks.
• Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm).
• Solid grasp of MLOps tools and practices (MLflow, model monitoring, CI/CD for ML).
• Strong communication skills with the ability to explain complex technical concepts to diverse audiences.
• Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners.
• Experience applying data science and ML techniques to solve business problems and passion for detail, follow-through, and technical excellence.

Additional Details:

JPMorgan Chase, a leader in investment banking, consumer banking, commercial banking, and asset management, values diversity and inclusion. The company is an equal opportunity employer that does not discriminate on any protected attribute. Accommodations are made for applicants' and employees' religious practices, beliefs, mental health, or physical disability needs. Role Overview:

Join a world-class data science team at JPMorgan Chase and help shape the future of the Chief Administrative Office. As a Data Scientist Senior Associate in the Chief Data & Analytics Office, you will lead the development and deployment of innovative AI and machine learning solutions. Collaborate with cross-functional teams to address complex business challenges, drive adoption of modern ML practices, and ensure responsible AI governance. If you value curiosity, technical excellence, and a passion for solving complex problems, this role is for you.

Key Responsibilities:

• Lead the hands-on design, development, and deployment of advanced AI, GenAI, and large language model solutions.
• Serve as a subject matter expert on a wide range of machine learning techniques and optimizations.
• Collaborate with product, engineering, and business teams to deliver scalable, production-ready AI systems.
• Conduct experiments using the latest ML technologies, analyze results, and tune models for optimal performance.
• Own end-to-end code development in Python for both proof-of-concept and production-ready solutions.
• Integrate generative AI within the ML platform using state-of-the-art techniques.
• Drive adoption of modern ML infrastructure, tools, and best practices.
• Optimize system accuracy and performance by identifying and resolving inefficiencies.
• Communicate technical concepts and results to both technical and business stakeholders.
• Ensure responsible AI practices, model governance, and compliance with regulatory standards.
• Mentor and guide other AI engineers and scientists, fostering a culture of continuous learning.

Qualifications Required:

• Masters or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field.
• Minimum 5 years of hands-on experience in ap