Data Scientist II, Learning Solutions – Impact & ML

Amazon; Bellevue (WA); On-site; USD 136,000 - 184,000; Full time

Job summary

Amazon’s Central Learning Solutions Science team in North America Operations seeks a Data Scientist II to develop learning analytics for leadership and associate development. You will build scalable analyses, apply causal inference to learner profiles, and assess training content impact.

The role involves conducting statistical tests, presenting insights to diverse stakeholders, and influencing business decisions from a global platform based in Bellevue, WA.

Qualifications

• Master's degree in statistics, mathematics, data science, economics, finance, engineering, or CS.
• 3+ years querying languages (SQL) or scripting (Python) or software (R/SAS/Matlab).
• 3+ years ML/statistical modeling and data analysis tools and techniques.
• Experience applying theoretical models in an applied environment.
• 2+ years of data scientist experience.

Responsibilities

• Establish scalable, automated processes for large-scale data analyses, model development, validation, and deployment.
• Use advanced causal inference to estimate learning curves for different profiles and training content effectiveness.
• Perform statistical analyses and hypothesis/A/B testing to derive actionable insights.
• Implement new ML or statistical methods to solve business problems.
• Present deep-dives to technical and non-technical stakeholders to influence strategy.

Skills

SQL

Python

R

SAS

Matlab

A/B Testing

Statistics

Machine Learning

Education

Master's degree in a quantitative field

Tools

S3

Redshift

Sagemaker

EMR

Kinesis

Lambda

EC2

Job description

Amazon’s Central Learning Solutions Science team in North America Operations seeks a Data Scientist II to develop learning analytics for leadership and associate development. You will build scalable analyses, apply causal inference to learner profiles, and assess training content impact.

The role involves conducting statistical tests, presenting insights to diverse stakeholders, and influencing business decisions from a global platform based in Bellevue, WA.