Data Scientist Lead for General Intelligence Projects
18 hours ago
As a key member of Amazon's Artificial General Intelligence (AGI) team, you will play a vital role in building world-class general-purpose intelligence services that benefit every Amazon business and humanity. We are seeking a motivated individual with strong analytical and communication skills to join our team.
In this role, you will apply advanced analytics techniques, AI/ML, and statistical concepts to derive insights from massive datasets. You will have expertise in AI/ML, statistical analysis, and the ability to write code for building models and pipelines to automate data and analytics processing. You will help us design experiments, build models, and develop appropriate metrics to deeply understand the strengths and weaknesses of our systems.
The ideal candidate should be a self-starter, comfortable with ambiguity, with strong attention to detail, and able to work in a fast-paced and ever-changing environment. They will also help coach/mentor junior scientists in the team. The ideal candidate should possess excellent verbal and written communication skills, capable of effectively communicating results and insights to both technical and non-technical audiences.
Key Responsibilities:
- Design and implement advanced analytics solutions using AI/ML and statistical concepts
- Develop and maintain complex data pipelines and models
- Analyze and interpret large datasets to inform business decisions
- Communicate results and insights to technical and non-technical stakeholders
Requirements:
- 5+ years of experience in a data scientist or similar role
- Expertise in AI/ML, statistical analysis, and programming languages such as Python
- Master's degree in a quantitative field or Bachelor's degree with 8+ years of experience
- Experience with statistical models and data visualization tools
Salary Range: $143,300 - $247,600 per year
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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