Amazon Data Scientist II AMZL Learning Product & Science 

United States, Washington, Bellevue 

839458734

As a Data Scientist on the team, you will be driving the data science/ML roadmap for the AMZL Learning & Development Science team. You will leverage your knowledge in statistics and econometrics, estimate the causal impact of training interventions, recommend the right interventions for a given learner profile, and measure the post-launch success of these interventions through A/B weblabs. These insights will help in dynamically changing the training content of Learning & Development courses and unlock opportunities to improve both training effectiveness and learner experience. You will collaborate effectively with internal stakeholders and cross-functional teams for solving business problems, create operational efficiencies, and deliver successfully against high organizational standards.Key job responsibilities
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.
- Use advanced causal inference methodologies to estimate the learning curves for different learner profiles and the effectiveness of training content.
- Perform statistical analysis and statistical tests including hypothesis testing and A/B testing.

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- 2+ years of data scientist experience in a large technology company.

- Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
- Experience in hypothesis testing, causal inference, experimental design, A/B testing