Applied Scientist I, Customer Behavior Analytics

Published
July 30, 2022
Location
Castro Valley, CA
Category
Job Type

Description

Description
Description
Job summary
Are you seeking an environment where you can drive innovation? Do you want to apply learning techniques and advanced mathematical modeling to solve real world problems? Do you want to play a key role in the future of Amazon's Retail business? Come and join us!

Amazon’s Customer Analytics team is looking for Applied Scientists, who can work at the intersection of machine learning, statistics and economics; and leverage the power of big data to solve complex problems like long-term causal effect estimation.
As an applied scientist, you will bring statistical modeling and machine learning advancements to analyze data and develop customer-facing solutions in complex industrial settings. You will be working in a fast-paced, cross-disciplinary team of researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. The ideal candidate will have experience with machine learning models and causal inference. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.

Key job responsibilities
Your responsibilities include

  • Understand and mine the large amount of data, prototype and implement new learning algorithms and prediction techniques to improve long-term causal estimation approaches.
  • Collaborate with product managers and engineering teams to design and implement solutions for Amazon problems
  • Design, build, and deploy effective and innovative ML solutions to improve various components of our ML and causal inference pipelines
  • Publish and present your work at internal and external scientific venues in the fields of ML and causal inference.

Basic Qualifications

  • A MS in CS, Machine Learning or in a highly quantitative field.
  • Strong coding and problem-solving skills in at least one programming language such as Python, Java, C++, etc.
  • Working knowledge of web-scale data processing (e.g., Hadoop, Spark).
  • Sound theoretical understanding of broad machine learning concepts, with deep and demonstrable expertise in at least one topic or application of machine learning.

Preferred Qualifications

  • A PhD in CS, Machine Learning or in a highly quantitative field.
  • Prior work experience as an applied scientist or a data scientist at a consumer product company.
  • Experience using an object-oriented language to write production-ready code.
  • At least one publication, as first author, in a leading conference or journal related to machine learning.

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, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Basic Qualifications

  • A MS in CS, Machine Learning or in a highly quantitative field.
  • Strong coding and problem-solving skills in at least one programming language such as Python, Java, C++, etc.
  • Working knowledge of web-scale data processing (e.g., Hadoop, Spark).
  • Sound theoretical understanding of broad machine learning concepts, with deep and demonstrable expertise in at least one topic or application of machine learning.

Preferred Qualifications

  • A PhD in CS, Machine Learning or in a highly quantitative field.
  • Prior work experience as an applied scientist or a data scientist at a consumer product company.
  • Experience using an object-oriented language to write production-ready code.
  • At least one publication, as first author, in a leading conference or journal related to machine learning.

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, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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