Sr Applied Scientist - Amazon Privacy, Amazon Privacy

Amazon; Seattle (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading technology company is seeking a Sr Applied Scientist to enhance privacy solutions for its builder community. You will work closely with teams across engineering and product management to create innovative tools utilizing machine learning, NLP, and data classification to improve processes at scale. This opportunity calls for advanced research knowledge and practical programming expertise.

Qualifications

• 3+ years of experience building machine learning models.
• Experience with applied research.
• Proficiency in programming languages like Java, C++, Python.

Responsibilities

• Identify business challenges and apply science-based approaches.
• Collaborate with engineers and product managers for experiments.
• Document and share findings with teams.

Skills

Machine Learning

Data Analysis

Programming in Java

Programming in Python

Neural Deep Learning

Education

PhD

Master's degree

Tools

R

scikit-learn

Spark MLLib

TensorFlow

Hadoop

Job description

Sr Applied Scientist - Amazon Privacy, Amazon Privacy

Job ID: 2934367 | Amazon.com Services LLC

We're on a mission to simplify Privacy for Amazon's builder community. Our systems are used by tens of thousands of Amazon builders and business teams to identify and address their privacy obligations.

This role will identify opportunities, research problems, and guide the creation of products that help automate that privacy work done by teams across the company. To do so, you will work very closely with our engineering and product teams, as well as other applied scientists and privacy specialists.

Our teams, based in the US and Europe, own the systems that map where personal data exists across the company, how it is used, and any associated obligations. We also own the products that builders use to address obligations. We apply data classification, natural language processing and other techniques to solve these problems at scale (hundreds-of-thousands of systems, millions of connections, exabytes of data).

Key job responsibilities
- Gain an understanding of current business challenges and identify opportunities to use science-based approaches.
- Partner with engineers and product managers
- Collaborate with engineers and product managers to create experiments and prototypes that lead to further investment and development
- Collaborate on designs and support engineers as your ideas move from prototype to production
- Measure and monitor your models to ensure ongoing performance
- Document and share your findings with engineers, product managers, other scientists and our wider organization.


About the team
Our team members are based on Austin, Romania and Seattle. We're on a mission to make privacy effortless for builders while continuing to meet our customer's high expectations for privacy and control. As a central team, we partner with a wide range of teams including Alexa, Security, Builder Tools and Customer Service to name a few.

We are passionate about what we do and work hard, but we are in this for the long haul, so keeping harmony and flexibility with our lives beyond work is important to all of us.

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.

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.

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