JPMorgan Data Scientist Associate 

United States, Texas, Plano 

816075988

As a Data Scientist Associate within the Identity and Access Management (IAM) Data Platform team, you will design and develop AI/ML solutions. You will collaborate with stakeholders to translate business requirements into data science projects and maintain data pipelines and workflows. Your role includes exploratory data analysis, statistical analysis for decision-making, and presenting findings through visualizations and reports. This role offers the opportunity to stay abreast of the latest in data science and machine learning, and to support the integration of new technologies within our team.

Job Responsibilities:

• Participate in the design and development of AI/ML solutions.
• Work closely with stakeholders to understand business requirements and help translate these into data science projects.
• Assist in the creation and upkeep of data pipelines and workflows to ensure efficient data processing, maintaining data quality and integrity.
• Perform exploratory data analysis to detect trends and patterns, and conduct statistical analysis to aid data-driven decision-making.
• Present findings and insights through clear visualizations and reports.
• Keep up-to-date with the latest developments in data science and machine learning, and support the integration of new technologies within the team.

Required Qualifications, Capabilities, and Skills:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• At least 2 years of experience in data science, machine learning, or a related field.
• Proficiency in programming languages such as Python or R.
• Familiarity with large language models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering techniques.
• Strong analytical and problem-solving skills, with a keen interest in deriving insights from data.
• Excellent communication skills, capable of conveying complex information clearly to both technical and non-technical audiences.

Preferred Qualifications, Capabilities, and Skills:

• Experience with data preprocessing and data validation techniques.
• Familiarity with data visualization tools and libraries.
• Exposure to cloud platforms and the deployment of machine learning models.