Data Scientist, Prime Air

Amazon
USA, WA, Seattle2026-01-21ONSITE

About the job

We are seeking a Data Scientist to help drive Prime Air’s expansion through applied ML and rigorous experimentation. You’ll work with engineers, analysts, and domain partners to translate customer journey and behavioral data (e.g., clickstream signals) into predictive models, causal insights, and measurable interventions identifying high-opportunity segments, diagnosing adoption friction, and improving reach and conversion. If you enjoy building models that ship, designing experiments that change decisions, and operating end-to-end from data to impact, we’d love to hear from you.

Responsibilities

Developing new statistical, causal, and machine learning techniques and develop solution prototypes to drive innovation

Collaborate cross-functionally to deeply understand business requirements, customer needs, and technical constraints

Drive the research, design, and development of novel ML/AI models and systems to power critical products and services

Present insights, recommendations, and results to senior leadership through written reports and verbal presentations, earning trust through clear articulation of data-driven findings and their business impact.

Stay up-to-date on the latest advancements in AI/ML and identify opportunities to apply emerging techniques

Qualifications

Minimum

2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience

2+ years of data querying languages (e.g. SQL, Hadoop/Hive) experience

3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

Master's degree in a quantitative field, or Bachelor's degree and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience

Experience applying theoretical models in an applied environment

Preferred

Experience in Python, Perl, or another scripting language

Experience in a ML or data scientist role with a large technology company