Data Scientist, Prime Air

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

Basic Qualifications

- 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 Qualifications

- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.