Job Details

Amazon's Artificial General Intelligence (AGI) team mission is to build world‑class general‑purpose intelligence services that benefit every Amazon business and humanity. The role seeks a data enthusiast with strong analytical and communication skills to apply advanced analytics techniques, AI/ML, and statistical concepts to derive insights from massive datasets.

Key responsibilities include:

• Apply AI/ML, statistical analysis, and develop code for building models and pipelines to automate data and analytics processing.
• Design experiments, build models, and develop appropriate metrics to understand strengths and weaknesses of systems.
• Build dashboards to automate data collection and reporting of relevant data streams, providing leadership and stakeholders with transparency into system performance.
• Turn findings into actions by writing detailed reports and providing recommendations to focus efforts for maximum customer impact.
• Coach and mentor junior scientists in the team.

Candidate profile:

• Self‑starter, comfortable with ambiguity, strong attention to detail, and able to work in fast‑paced and ever‑changing environments.
• Excellent verbal and written communication skills, able to effectively communicate results and insights to both technical and non‑technical audiences.
• Experience in AI/ML, statistical modeling, data extraction, analysis, and communication.
• Proficiency in SQL, Python, and statistical/mathematical software (R, SAS, Matlab, etc.).
• Experience with statistical models such as multinomial logistic regression.
• Experience with data visualization using Tableau, Quicksight, or similar tools.

Basic Qualifications

• 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience.
• 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.).
• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science; or Bachelor's degree with 8+ years of data scientist or similar role.
• Experience with statistical models e.g. multinomial logistic regression.
• Experience with data visualization using Tableau, Quicksight, or similar tools.

Preferred Qualifications

• Experience managing data pipelines.
• Experience as a leader and mentor on a data science team.
• Experience working with scientists, economists, software developers, or product managers.
• Experience working with data engineers and business intelligence engineers collaboratively.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our compensation reflects the cost of labor across several US geographic markets. Base pay ranges from $143,300/year to $247,600/year, depending on location. Additional compensation (equity, sign‑on, etc.) may be provided as part of a total compensation package.

To apply, please visit our career site.