Data Scientist II, AMZL, Central Learning Solutions Science

About the role

The Central Learning Solutions (CLS) Science team in Amazon Operations builds state-of-the-art solutions for enhancing leadership and associate development across the organization. We develop technology and mechanisms for building personalized learning experiences based on the profiles of different learners and assess the post-training performance curves for different learner profiles. As a Data Scientist on the team, you will be driving the data science roadmap for the CLS Science team.

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.
• Implement new statistical, machine learning, or other mathematical methodologies to solve specific business problems.
• Present deep dives and analysis to both technical and non-technical stakeholders, ensure clarity, and influence the strategy of business partners.

Requirements

• 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

Qualifications

• 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 with statistical methods (e.g., A/B Testing, Regression)

Skills

• Advanced causal inference methodologies
• Data querying languages (SQL)
• Statistical modeling
• AWS services (S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, EC2)
• Statistical methods (A/B Testing, Regression)

Benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan