As a Data Science Research Lead, you will apply causal inference and differential privacy to build analysis pipelines and conduct exploratory data analysis and model development. Your responsibilities include delivering incrementality insights, designing experiments, and guiding technical work and prioritization for the team. You will also partner with product and engineering to answer quantitative questions and develop privacy-preserving marketing products.
About the role
Tasks: Apply causal inference and differential privacy. Build analysis pipelines. Conduct EDA and model development. Conduct cost benefit analysis for business decisions. Deliver incrementality insights. Design and assess experiments. Develop privacy preserving marketing products. Guide team technical work and prioritization. Partner with product and engineering on quantitative questions. Perform end-to-end data analysis. Prototype data structures. Perks/Benefits: N/A. Skills/Tech-stack: Causal Inference, Data models, Difference-in-differences, Differential Privacy, Fixed effects, Fixed effects regression, Instrumental Variables, Linear Regression, MATLAB, Machine Learning, Matching estimators, Multivariate analysis, Pandas, Panel data, Panel data models, Python, R, Regression discontinuity, SQL, Sampling methods, Split-testing, Stochastic models. Education: Master of Science, PhD. Roles: Data Science, Data Science Research Lead, Lead, Research Lead, Technical Lead. Regions: Asia/Pacific. Countries: India. States: Karnataka, IN. Cities: Bengaluru, Karnataka, IN.
Skills
Causal InferenceData modelsDifference in differencesDifferential PrivacyFixed effectsFixed effects regressionInstrumental VariablesLinear RegressionMATLABMachine LearningMatching estimatorsMultivariate analysisPandasPanel dataPanel data modelsPythonRRegression discontinuitySQLSampling methodsSplit testing