About this role
This role is heavily focused on econometric modeling, time series analysis, and causal inference for forecasting, pricing, and customer behavior analytics, working with large-scale data environments. The Data Science Lead will develop forecasting models, apply econometric and Bayesian methods, use Markov chains for sequential data, and collaborate with stakeholders while mentoring junior team members.
Skills for this role
EconometricsTime series analysisARIMASARIMAVARState-space modelsForecastingWeighted least squares (WLS)Panel data modelsCausal inferenceA/B testingQuasi-experimental methodsBayesian statisticsProbabilistic modelingMarkov chainsStochastic processesPythonSQLDatabricksBig data platformsMachine learningClassificationRegressionTree-based modelsFeature engineeringModel validationPerformance tuningML pipelinesMLOpsBig Data Optimization