Data Scientist II: Causal Learning & Training Analytics

Amazon; Bellevue (WA); Sur place; USD 136 000 - 184 000; Plein temps

Avantages offerts par ce poste

Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options

Paid Time Off

401(k) Plan

Sign-on and RSUs

Résumé du poste

Amazon Operations’ Central Learning Solutions (CLS) Science team is hiring a Data Scientist to drive the data science roadmap for CLS Science. You will estimate causal impact of training interventions, tailor interventions to learner profiles, and measure post-launch success through A/B testing and weblabs.

Join a cross-functional team and develop scalable analytics, present deep dives to stakeholders, and help shape learning content decisions while leveraging AWS services and advanced

Qualifications

• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics or related area.
• 3+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python) or statistical software experience.
• 3+ years of machine learning/statistical modeling and data analysis techniques.
• 2+ years of data scientist experience in applied settings.

Responsabilités

• Establish scalable, automated processes for large scale data analyses and model deployment.
• Use causal inference to estimate learning curves and content effectiveness for learner profiles.
• Perform statistical analyses, hypothesis testing, and A/B testing.
• Present findings to technical and non-technical stakeholders to influence strategy.

Connaissances

SQL

Python

R

Matlab

Formation

Master's degree

Outils

Sagemaker

Redshift

EMR

Kinesis

EC2

S3

Description du poste

Amazon Operations’ Central Learning Solutions (CLS) Science team is hiring a Data Scientist to drive the data science roadmap for CLS Science. You will estimate causal impact of training interventions, tailor interventions to learner profiles, and measure post-launch success through A/B testing and weblabs.

Join a cross-functional team and develop scalable analytics, present deep dives to stakeholders, and help shape learning content decisions while leveraging AWS services and advanced