Amazon Data Scientist III ProdOps OAT Project Kuiper 

United States, Washington, Redmond 

584524092

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Role OverviewAs a Senior Data Scientist (DS), you will drive the development and implementation of advanced analytics and machine learning solutions. You will work on critical initiatives including natural language processing for non-conformance analysis, statistical process controls (SPC) for test optimization, and equipment predictive maintenance models to enable manufacturing rate acceleration. Your work will directly influence Kuiper’s production manufacturing workflow.Key job responsibilities
- Lead the design and implementation of ML/LLM solutions to analyze manufacturing data and identify failure patterns and operational risks
- Design predictive models for statistical process control and equipment maintenance optimization
- Build production-ready ML pipelines leveraging AWS services (e.g., SageMaker, Bedrock, AWS Glue)
- Formalize assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them
- Develop and test model enhancements, running computational experiments, and fine-tuning model parameters for new models
- Write documents and create compelling visualizations and presentations to communicate insights to stakeholders

- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- 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 experience
- Experience with statistical models e.g. multinomial logistic regression
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Experience as a leader and mentor on a data science team
- Experience solving optimization problems for large organizations

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Strong ability to interact, communicate, present, and influence within multiple levels of the organization