Applied AI ML [Multiple Positions Available]

JPMorgan Chase & Co.•Columbus, OH

4h•Onsite

About The Position

This role involves applying statistical and machine learning methodologies, including causal inference, to solve business problems. The position requires performing quantitative and statistical analysis of datasets to identify trends, patterns, and correlations that can improve business performance. The individual will generate insights through data analysis and understanding of business processes, translating these into actionable recommendations using algorithms. Responsibilities include building and deploying prototype solutions, collaborating with others to develop new ideas, and creating presentations to communicate key messages to senior management. The role also requires acting as a subject matter expert and advisor in analytics and mentoring junior team members.

Requirements

PhD in Quantitative Psychology, Statistics, Mathematics, Economics, or related field of study.
Master's degree in Quantitative Psychology, Statistics, Mathematics, Economics, or related field of study plus 3 years of experience in the job offered or as Applied AI ML or related occupation.
Experience in making predictions and inferences using analytical methods including generalized linear models, non-linear models, ML frameworks including tree-based models, nonparametric models, time series, causal inference and causal estimation including Structural Equation Modeling, and conditional likelihood approaches such as Bayesian analysis.
Experience in conducting data interpolation for estimation and inference.
Experience in performing heterogeneous data management and programming using a programming language such as R.
Experience in writing academic-style documentations.

Responsibilities

Apply statistical and machine learning methodologies, including causal inference methodologies, and perform advanced analytics to solve business problems.
Perform quantitative and statistical analysis of datasets to identify trends, patterns, and correlations that can be used to improve business performance.
Generate insights through data analysis and understanding of business processes and turn insights into actionable recommendations using algorithms.
Build and deploy prototype solutions to demonstrate ideas and prove concepts.
Collaborate with others in the organization to develop new ideas and brainstorm potential solutions.
Develop presentations to summarize and communicate key messages to senior management sponsors and colleagues.
Act as a subject matter expert and advisor in the analytics discipline and mentor junior team members.