Finance Forecasting Scientist—GenAI & ML

Amazon Inc.; Miami, Northern (FL, KY); Hybrid; USD 136,000 - 184,000; Full time

Job summary

Amazon.com Services LLC is seeking a Data Scientist II to steer the technical strategy for advanced forecasting and GenAI initiatives. You will translate high‑level business questions into scalable, production‑grade systems while guiding cross‑functional roadmaps.

You will apply statistical modeling, machine learning, and time‑series analysis to forecast financial metrics, design Retrieval‑Augmented Generation solutions, and mentor junior scientists.

Qualifications

• 2+ years of data scientist experience.
• 3+ years SQL, Python, or statistical software experience.
• 3+ years ML/statistical modeling experience.
• 1+ years guiding a group of researchers.
• 1+ years working with or evaluating AI systems.
• 1+ years creating or contributing to mathematical textbooks or papers.
• Master's degree in STEM or equivalent experience.

Responsibilities

• Own and solve difficult business problems influencing senior leadership decisions.
• Apply data science methods to forecasting challenges.
• Design scalable approaches to extract insights from large datasets.
• Develop metrics to quantify benefits and progress.
• Design and implement RAG systems and LLM-based solutions.
• Collaborate with finance, engineers, and other scientists to deliver data-driven solutions.
• Mentor and provide peer feedback to junior data scientists.

Skills

Data science

SQL

Python

ML modeling

Mentoring

AI systems evaluation

Educational content

Education

Master's degree in STEM

Ph.D. in STEM

Tools

R

SAS

MATLAB

Job description

Amazon.com Services LLC is seeking a Data Scientist II to steer the technical strategy for advanced forecasting and GenAI initiatives. You will translate high‑level business questions into scalable, production‑grade systems while guiding cross‑functional roadmaps.

You will apply statistical modeling, machine learning, and time‑series analysis to forecast financial metrics, design Retrieval‑Augmented Generation solutions, and mentor junior scientists.