Senior Applied Scientist, Selling Partner Support Engagement

Amazon; Vancouver; On-site; CAD 269,241 - 449,697; Full time

Benefits offered by this job

Equity options

Sign-on payments

Comprehensive medical benefits

Financial benefits

Job summary

Join a forward-thinking company as an Applied Scientist, where you'll leverage your expertise in machine learning and statistics to tackle complex challenges. This role offers the opportunity to develop innovative AI solutions that enhance support for a global network of partners. You will have ownership of end-to-end development, collaborating with engineers and product owners to create impactful tools and systems. If you're passionate about redefining customer support through technology and driving improvements in a diverse and inclusive environment, this position is perfect for you. Embrace the chance to make a significant impact in an organization committed to innovation and excellence.

Qualifications

• 3+ years of experience in building machine learning models for business applications.
• PhD or Master's with significant applied research experience required.

Responsibilities

• Develop statistical and machine learning solutions for complex problems.
• Collaborate with teams to build ML pipelines and platforms.

Skills

Machine Learning

Statistical Analysis

Deep Learning

Natural Language Processing

Programming in Java

Programming in Python

Programming in C++

Education

PhD in a relevant field

Master's degree with 6+ years of applied research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

numpy

scipy

Hadoop

Spark

Job description

At Amazon, we strive every day to be Earth’s most customer centric company. Selling Partner Support Engagement (SPSE) Science delivers on this by building AI-enhanced experiences and automation that help to provide world class support to our global network of selling partners. We are building at the cutting edge of Gen AI applications, working to tackle the many challenges that we confront caused by the volume, diversity, and complexity of our selling partner's needs… and we are always striving to do better.

Do you want to join an innovative team who creatively applies techniques ranging from statistics and traditional machine learning to deep learning, natural language processing, and generative models? A team that drives our flywheel of improvement by hunting down opportunities to do better that are buried in tens of millions of solved cases? Are you interested in helping us redefine what world class support can be in an age of automation and AI, while prizing human empathy and ingenuity?

The SPSE Science Team is looking for an Applied Scientist to build statistical and machine learning solutions that help us understand and solve our most challenging problems. We need to better understand our Sellers and the problems they face, to augment our human workforce with smarter tools, to anticipate problems so that we are prepared to deal with them, to automatically diagnose and resolve issues, and to identify opportunities to grow and improve.

In this role, you will have ownership of the end-to-end development of solutions to complex problems and you will play an integral role in strategic decision-making. You will also work closely with engineers, operations teams, and product owners to build ML pipelines, platforms, and solutions that solve problems of defect detection, automation, and workforce optimization.

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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, 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 this link for more information.

The base salary for this position ranges from $195,900/year up to $327,200/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.

Posted: March 7, 2025 (Updated 1 day ago)