TL;DR

Senior Data Scientist (AI): Applying advanced analytics, AI/ML, and statistical concepts to derive insights from massive datasets for Amazon's AGI team with an accent on designing experiments, building models, and developing metrics to understand system strengths and weaknesses. Focus on automating data collection and reporting of relevant data streams, and providing recommendations for customer impact.

Location: Must be based in the United States (specifically mentioning Los Angeles County for local applicants).

Salary: $143,300 – $247,600/year

Company

Amazon's Artificial General Intelligence (AGI) team builds world-class general-purpose intelligence services that benefit every Amazon business and humanity.

What you will do

Apply advanced analytics, AI/ML, and statistical concepts to massive datasets.
Design experiments, build models, and develop metrics to understand system performance.
Develop and automate data collection and reporting dashboards for leadership.
Translate findings into actionable recommendations for customer impact.
Coach and mentor junior scientists within the team.

Requirements

5+ years of experience in data extraction, analysis, statistical modeling, and communication.
5+ years of experience with data querying languages (SQL) and scripting languages (Python, R, SAS, Matlab).
Master's degree in a quantitative field (e.g., statistics, data science, computer science), or Bachelor's with 8+ years of relevant experience.
Experience with statistical models (e.g., multinomial logistic regression).
Experience with data visualization tools (Tableau, Quicksight).

Nice to have

Experience managing data pipelines.
Experience leading and mentoring on a data science team.
Collaboration experience with scientists, developers, or product managers.

Culture & Benefits

Amazon is an equal opportunity employer.
Workplace accommodations/adjustments for disabilities are provided.
Comprehensive total compensation package including equity, sign-on payments, medical, and financial benefits.
Inclusive culture empowering employees to deliver results.