Senior Applied Scientist, Amazon Leo Data Science Platform

Amazon; Redmond (WA); On-site; USD 167,100 - 226,100; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon in Redmond is seeking a Senior Applied Scientist to lead initiatives for Amazon Leo's satellite network. You will leverage machine learning to enhance fraud detection and improve customer experience. The role requires collaboration across internal teams and offers the opportunity to work with large-scale data.

Ideal candidates have a PhD or Master’s degree with 6+ years of experience in applied research and programming skills in languages such as Java or Python. Comprehensive benefits and competitive salary range are offered.

Qualifications

• 3+ years of building machine learning models for business applications.
• PhD or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, or Python.

Responsibilities

• Lead critical decisions impacting customers using machine learning.
• Build solutions that solve business problems and are scalable.
• Develop rules and ML models to prevent fraud.

Skills

Machine learning expertise

Statistical modeling

Data extraction queries

Communication skills

Education

PhD or Master’s degree

Tools

Java

Python

R

Tensorflow

Job description

Description

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.

The Role

As a Senior Applied Scientist in Project Leo, you’ll be leading us in making critical and time‑sensitive decisions that impact customers. You’ll use your machine learning expertise to build solutions that can scale and solve the business problem, and your engineering experience to build systems that take those solutions to production; it’s an exciting opportunity to apply data science to help improve fraud detection accuracy, inference, and customer experience monitoring activity. It’s fast‑paced, data‑driven, and impactful.

Export Control Requirement

Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Key job responsibilities

The position requires hands‑on expertise in analytics to identify and isolate issues, statistical modeling and traditional machine learning, the ability to write queries to aid in data extraction, and the ability to productionalize models. This role is a self‑sufficient scientist that can source data, build and evaluate models, and ultimately take those models and rules to deployment. You should have excellent communication skills and be able to work with stakeholders at all levels. Above all you should be a passionate, hard‑working and creative person who loves creating business impact, loves solving difficult problems and doesn’t mind getting involved in the details.

A day in the life

As part of the Amazon Leo Data Science Platform team, you will collaborate with a diverse group of internal stakeholders, including fraud operations, engineering teams, and the data platform, to identify and address fraud vulnerabilities. You will develop rules and ML models to prevent Customer Terminal (CT) usage fraud and abuse. Your role will also allow you to leverage your customer‑obsession skills by thoughtfully considering the user experience and ensuring it is not adversely affected by the mechanisms you design. If you are passionate about working with large‑scale data, we offer ample opportunities to do so.

About the team

The Amazon Leo Data Science Platform team builds services to ingest, transform, and aggregate data from various devices in the Leo Network, and auto‑detect, diagnose, and resolve issues. We use ML technology to monitor customer experience and prevent fraud and abuse.

Basic Qualifications

• 3+ years of building machine learning models for business application experience
• PhD or Master’s degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.
• Experience with large‑scale distributed systems such as Hadoop, Spark, etc.

Equal Opportunity Statement

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 be advised that accommodations are available. If the country or region you’re applying in isn’t listed, please contact your Recruiting Partner.

Benefits and Compensation

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.

Location

USA, WA, Redmond – 167,100.00 – 226,100.00 USD annually