Senior Applied Scientist, Amazon Leo Data Science Platform

Amazon Inc

Quick summary

Work type: On-site
Location: Redmond, WA
Salary: $167,100–$226,100 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k

This role $197k

$127k most similar roles pay here $237k

This role pays more than 85% of similar roles. Most pay $145,550–$177,900 — the shaded band above. At the midpoint, this role pays about $197k versus about $162k for comparable roles.

Based on 240 similar postings.

Employer

About Amazon Inc

Amazon Inc. is the world''s largest e-commerce and cloud computing company, operating the Amazon marketplace, AWS cloud platform, Prime subscription services, Alexa voice AI, and logistics infrastructure. Industry: E-Commerce & Cloud Computing

Amazon Inc currently has 321 open roles on FindRole.

Listed pay typically runs $143,700–$194,400 across 304 roles with salary data.

Most-posted roles

View all roles at Amazon Inc

At a glance

TL;DR · Senior Applied Scientist, Amazon Leo Data Science Platform

Role Posting Log in to save

As a Senior Applied Scientist in the Amazon Leo Data Science Platform team, you will lead efforts to enhance fraud detection and customer experience monitoring through advanced machine learning solutions. Your day-to-day responsibilities include identifying issues, developing statistical models, writing queries for data extraction, and deploying these models into production systems. You will collaborate with various internal teams such as engineering and operations to build rules and ML models that prevent CT usage fraud while maintaining a positive user experience. The role requires expertise in machine learning frameworks like TensorFlow and PyTorch, proficiency in programming languages such as Python or Java, and experience with large-scale distributed systems including Hadoop and Spark. This fast-paced environment offers opportunities to work on impactful projects that significantly influence customer satisfaction and business outcomes at Amazon Kuiper Manufacturing Enterprises LLC.

Skills

Python R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy Java C++ Hadoop Spark CI/CD

What you'll do

Develop and evaluate machine learning models to prevent fraud and abuse.
Use statistical modeling and traditional machine learning techniques for data analysis.
Write queries to extract relevant data for model development and evaluation.
Productionalize ML models by deploying them in a scalable system environment.
Collaborate with engineering teams to integrate models into existing systems.
Ensure that anti-fraud mechanisms do not negatively impact customer experience.

What we're looking for

3+ years of experience building machine learning models for business applications.
PhD or Master's degree with at least 6 years of applied research experience.
Proficiency in programming languages such as Java, C++, Python.
Expertise in neural deep learning methods and machine learning techniques.
Experience with large-scale distributed systems like Hadoop and Spark.

Save