We are seeking an L5 Data Scientist to spearhead the next generation of Amazons hiring practices through advanced scientific methods, focusing on System Health Monitoring (SHM) and Select In for optimizing candidate quality.
Key Responsibilities
1. Partnering with senior DS and Applied scientists to identify customer pain points and transform them to measurable goals.
2. Iterate rapidly prototypes on anomaly detection, agent-based root cause analysis on anomalies detected using scientific approaches.
3. Deploy scalable ML/science based models using AWS infrastructure.
4. Identifying proactively areas of high value repeated work /product opportunities as candidates for automation using Gen AI.
5. Design and run experiments on systems stability pre and post interventions.
6. Follow agile workflow for daily project execution.
7. Develop in partnership with economists and other DS an integrated framework for developing strategies that attract top tier talent for Amazon.
Basic Qualifications
* Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance.
* Experience applying theoretical models in an applied environment.
* Experience working as a Data Scientist.
* 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 applying quantitative analysis to solve business problems and making data‑driven business decisions.
Preferred Qualifications
* Experience in defining and creating benchmarks for assessing GenAI model performance.
* Experience effectively communicating complex concepts through written and verbal communication.
Amazon is an equal opportunity employer.
J-18808-Ljbffr