Amazon Sr Applied Scientist Amazon Fulfillment Technologies AFT 

United States, Washington, Bellevue 

578486410

In this role, you will have an opportunity to both develop advanced scientific solutions, and drive critical customer and business impact. You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data and ML models, building prototypes and exploring conceptually new solutions, to working with partner teams for prod deployment. You will collaborate closely with scientists, engineering peers as well as business stakeholders.We are looking for an individual with strong analytical abilities, communication skills, and someone who is comfortable working with cross-functional teams and systems. You will be responsible for researching, prototyping, experimenting, analyzing predictive models and developing smart automation solutions.Key job responsibilities
- Develop an understanding and domain knowledge of operational processes, system architecture and functions, and business requirements.
- Deep dive into data and code to identify opportunities for continuous improvement and/or disruptive new approach.- Research and develop new methodologies for demand forecasting, alarms, alerts and automation with advanced models and methods.
- Improve upon existing methodologies by adding new data sources and implementing model enhancements.
- Drive scalable and hands-off-the-wheel solutions.- Partner with engineers to integrate prototypes into production systems.
- Set high standards of coding and integrate successful models and algorithms in production systems.
- Use the best practices in science: data integrity, design, test, and implementation and documentation.
- Design experiment to test new or incremental solutions launched in production and build metrics to track performance.A day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- 5+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- 5+ years of industry or academic research experience
- Patents or Publications at top-tier peer-reviewed conferences or journals

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.