Data Scientist II, AMZL, Central Learning Solutions Science

What you'll do

• Build scalable processes for data analysis, model development, validation, and implementation.
• Apply causal inference, statistical testing, and machine learning to assess learning curves and training effectiveness.
• Present analyses to technical and non-technical stakeholders and influence business strategy.

What they ask for

• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
• 3+ years of experience with data querying or scripting languages, or statistical/mathematical software.
• 3+ years of experience with machine learning/statistical modeling, data analysis tools and techniques, and performance parameters.
• Experience applying theoretical models in an applied environment; 2+ years of data scientist experience.

Nice to have

• Knowledge of statistical measures such as confidence intervals and significance of error measurements.
• Experience with AWS services or statistical methods such as A/B Testing and Regression.

Pay

136,000.00 - 184,000.00 USD annually (base salary)

Tools

SQL, Python, R, SAS, Matlab, S3, Redshift, Sagemaker

AI focus

Uses causal inference and statistical or machine learning methods to estimate training impact, model learning curves, and recommend personalized learning interventions.