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Description

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.
How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos).

If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you.

Come work on the Amazon Prime Air Team!

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.


Key job responsibilities
Key responsibilities include:
- 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