Applied AI & ML Scientist: Causal Analytics & Big Data

JPMorgan Chase & Co.; Plano (TX); On-site; USD 120,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX seeks a data science professional to apply statistical and machine learning methods to solve complex business problems, including causal inference.

The role analyzes large datasets to find trends and generate actionable recommendations and builds prototype solutions to demonstrate ideas. You will collaborate across teams, develop presentations for senior sponsors, and translate insights into impactful business actions using algorithms and robust data-driven

Qualifications

• PhD in Economics, Statistics, Mathematics, or related field plus 1 year of experience in Applied AI/ML or related occupation.
• Alternative: Master’s plus 3 years of experience in the same field.

Responsibilities

• Apply statistical and ML methodologies to solve complex business problems.
• Conduct advanced quantitative analysis on large datasets to identify trends and insights.
• Develop prototypes to demonstrate ideas and prove concepts.
• Collaborate with stakeholders to translate insights into actionable recommendations.
• Create presentations for senior management summarizing key findings.

Skills

Statistical ML

Causal Inference

Time Series

SQL

Python

R

MATLAB

LaTeX documentation

Education

PhD in Economics/Statistics/Mathematics or related field

Master’s in Economics/Statistics/Mathematics or related field

Tools

SQL

MATLAB

R

Python

Job description

JPMorgan Chase & Co. in Plano, TX seeks a data science professional to apply statistical and machine learning methods to solve complex business problems, including causal inference.

The role analyzes large datasets to find trends and generate actionable recommendations and builds prototype solutions to demonstrate ideas. You will collaborate across teams, develop presentations for senior sponsors, and translate insights into impactful business actions using algorithms and robust data-driven