Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

Amazon Applied Scientist - Delivery Experience AI Team 
United States, Washington, Bellevue 
667536197

04.09.2024
DESCRIPTION

Why this job is awesome?
Major responsibilities:- Analyze a large amount of historical data to detect patterns, analyze trends and identify correlations and causalitiesKey job responsibilities
Key job responsibilities:
- Work with business owners to understand business goals, requirements and use cases
- Map abstract business goals and requirements to well-defined science projects with executable plans and milestones
- Work with engineers to collect data in different formats from various sources
- Use existing platforms and tools or write codes to perform statistical data analysis
- Create machine learning prototypes to evaluate feasibilities of approaches, gain insights and drive decisions
- Design and apply (mathematical formulation and coding required) machine learning models (supervised, unsupervised, reinforcement learning, casual inference and uplift, etc.) to solve business problems
- Evaluate, analyze and interpret model results, and further improve model performance
- Work with software engineers to deploy and scale science work on production
- Communicate with stakeholders on project progress and results both orally and in writing- Mentor junior scientists to help them grow

BASIC QUALIFICATIONS

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing


PREFERRED QUALIFICATIONS

- Experience using Unix/Linux
- Experience in professional software development