Amazon Sr Data Scientist Global Reliability Maintenance 

United States, Washington, Bellevue 

905796

Key job responsibilities
1) Implement an advanced maintenance framework (condition based monitoring approaches) to drive equipment performance resulting in reduced unplanned downtime.2) Operations Research - Building Labor planning solution that allows optimal schedule for technicians in RME.3) Build a global condition based alerting system sends notifications to the sites ahead of potential equipment failure.A day in the life
As a Senior Data Scientist in DST you will be focused on leading the design and development of innovative approaches and solutions through technical work supporting RME’s Predictive Maintenance (PdM) and Condition Based monitoring programs. You will connect with Global Leaders in your field to understand their pain points and provide recommendations on the solutions. The appropriate choice of scientific methods and their deployment into effective tools will be key for success in this role.
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- Experience with statistical models e.g. multinomial logistic regression
- Bachelors Degree with 6 years of experience in Machine Learning, Statistics or Operations Research

- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Experience working with scientists, economists, software developers, or product managers
- Experience as a leader and mentor on a data science team
- PHD or Masters Degree