Sunday , October 2 2022

Amazon Virtual Jobs – Applied Scientist

Website Amazon

Job Description:

This Applied Scientist role will design quantitative systems and forecasting models that generate multi-billion dollar predictions of the highest level of visibility and importance for Amazon’s Payments and Customer Experience. A successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, and possesses strong communication skills to effectively interface between technical and business teams. You will contribute to the research community by working with other scientists across Amazon and our Payments Engineering as well as by collaborating with academic researchers and publishing papers. You will work closely with Software Development Engineers to invent and construct models on data at massive scale and it is likely that your work will end up in an Amazon product. Finally, you will also have exposure to senior leadership as we communicate results and provide scientific guidance to the business.

Job Responsibilities:

  • Create experiments and prototype implementations of new learning algorithms and prediction technique.
  • Drive collaborative research and creative problem solving.
  • Constructively critique peer research and mentor junior scientists and engineers.
  • Contribute to progress of the Amazon and broader research communities by producing publication
  • Effectively collaborate in a fast paced environment with multiple teams in large organization (software development, Project Management, Build and Release, etc).
  • Collaborate with engineering teams to design and implement software solutions for science problems.

Qualification & Experience:

  • Strength in clarifying and formalizing complex problems
  • Experience with defining research and development practices in an applied environment
  • Hands-on experience in predictive modeling and analysis
  • Experience applying ML to solve complex problems in an applied environment
  • Proficiency in model development, model validation and model implementation for large-scale applications
  • Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis
  • Ph.D./M.S. in Computer Science, Machine Learning, Statistics or a related quantitative field
  • Experience in software development
  • Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts
  • Hands-on experience in Python, Perl, Scala, Java, C#, C++ or other similar languages

Job Details:

Company: Amazon

Vacancy Type:  Full Time

Job Location: Austin, TX, US

Application Deadline: N/A

Apply Here