Data Scientist II, AMZL, Central Learning Solutions Science
Core
Building state-of-the-art personalized learning experiences and assessing post-training performance curves for leadership and associate development across the organization.
Role type
Data Scientist (Causal Inference & Learning Analytics)
Builds
Personalized learning experiences, training content optimization, and impact estimation tools for Learning & Development.
Domain
Corporate Learning & Development / Education Technology
Deliverable
production ML models | dashboards & analysis
Required skills
Causal inference, A/B testing, statistical modeling, SQL, Python, machine learning, hypothesis testing, econometrics
Preferred skills
AWS services (S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, EC2), regression analysis, confidence interval estimation
Technologies
Python, SQL, R, SAS, Matlab, AWS (S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, EC2)
Responsibilities
Establish scalable automated processes for large-scale data analysis and model implementation; Estimate causal impact of training interventions using advanced methodologies; Perform statistical analysis including hypothesis and A/B testing; Implement new statistical or machine learning methodologies to solve business problems; Present deep dives and analysis to technical and non-technical stakeholders.
Seniority
Mid-level (3+ years experience)