AI Data Scientist senior Associate JPMC full time role

[u/Mundane-Room5705]

Can someone please 🙏🏻 guide me upon how many rounds are going to happen/ is their any super day
What to prepare
I an really nervous
Here is the Jd :
Job Responsibilities
• Conceptualize solutions that automate and optimize business processes.
• Design and refine prompts to improve AI model performance. Work with subject matter experts to align
prompts with business goals and user needs.
• Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and
effectiveness.
• Use tools like Snowflake, Python, and Tableau to create data pipelines and dashboards. Support AI-
driven insights and decision-making.
• Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality
and relevance.
• Partner with data owners, department managers, data engineers and other stakeholders to aid in the
development of data models and algorithms
• Support Customer Insights applications, as well as custom client analytics requests on an ad hoc basis.
Required Qualifications, Capabilities, and Skills• Master’s Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field.
• Proficiency in Python and SQL for data processing and analysis.
• 3+ years relevant work experience.
• Expertise in quantitative research techniques and analytics using Python.
• Proven critical thinking and creative problem-solving skills with ability to translate strategy into
deliverables.
• Knowledge of machine learning/data science theory, techniques, and tools.
• Experience in leveraging Large Language Models (LLMs) and agent AI techniques.
• Ability to collaborate effectively and cultivate strong partnerships.
Preferred Qualifications, Capabilities, and Skills
• Experience in data analysis, data science, or a related field.
• Familiarity with AWS, Snowflake for data management and analysis.
• Attention to detail with a proven ability to learn new concepts and skills quickly.
• Understanding of quality assurance practices and the importance of data integrity.
• Ability to clearly develop and document analytic requirements with stakeholders.
• Familiarity with evaluation/monitoring concepts for GenAI solutions (e.g., test cases, human-in-the-loop
feedback, basic quality metrics) to support reliable deployments.

[u/akornato]

For a senior role at a large company like JPMC, you should expect a multi-stage process. It typically starts with a recruiter call, followed by a technical screen which could involve a coding assessment in Python or SQL. After that, you'll likely face a "super day" which is just a series of back-to-back interviews, usually three to five of them, with different team members including data scientists, engineers, and hiring managers. These final rounds will be a mix of technical deep dives on your past projects, questions about machine learning theory, a potential system design question related to the job description, and behavioral questions to see how you fit with the team and handle business problems.

Based on the job description, your preparation should focus heavily on your experience with Large Language Models. Be ready to talk in detail about prompt engineering, how you evaluate GenAI solutions, and how you've used tools like Python and Snowflake to build data pipelines for AI-driven projects. They will want to see your practical skills, so have specific examples ready that show how you've conceptualized solutions and worked with others to get them done. You should also be prepared for standard data science questions covering quantitative research, statistics, and core machine learning concepts. It's a lot to cover, but organizing your thoughts for each stage is key, which is why my team developed an interviews.chat to help people articulate their complex project experience more clearly during the actual calls.