Applied AI ML

What you'll do

• Apply statistical and machine learning methodologies, including causal inference, to solve complex business problems.
• Perform advanced quantitative analysis of large datasets to identify trends and correlations.
• Turn data insights into actionable business recommendations using algorithms.
• Build and deploy prototype solutions to demonstrate ideas and prove concepts.
• Make predictions using generalized linear models, tree-based models, and time series analysis.
• Manage heterogeneous data using SQL, Matlab, R, and Python.
• Write technical documentation in Latex for regulatory review and academic standards.

What we're looking for

• PhD in Economics, Statistics, Mathematics, or a related field plus 1 year of experience in the job offered or a related occupation.
• Master's degree in Economics, Statistics, Mathematics, or a related field plus 3 years of experience in the job offered or a related occupation.
• Experience making predictions and inferences using generalized linear models, non-linear models, and ML frameworks including tree-based models.
• Experience with time series, causal inference, and causal estimation including Structural Equation Modeling and conditional likelihood.
• Experience with data interpolation for estimation and inference with cross sectional and panel data.
• Experience with heterogeneous data management and programming using SQL, Matlab, R, and Python.
• Experience writing technical documentation using Latex for review by regulators in line with academic journal expectations.