Data Scientist, Registration ML Science Services, Inc.
 Tempe, AZ


Job summary

Amazon is looking for motivated and innovated individuals with strong analytical skills and practical experience to join our Seller Registration and Compliance Science team.

Our mission is to build the most trusted store for customers and 3P selling partners. As a Scientist in our team, you will play a key role in developing best-in-class risk controls through data and machine learning.

  • You will research, design and improve on the models that will impact Amazon’s customer directly.
  • You will prevent our customers and 3P selling partners from being harmed by bad actors.
  • You will be working in a highly collaborative environment partnering with various science, product management, engineering, operations, finance, business intelligence and analytics teams to develop ML models and analytical tools.
  • You will influence your team’s science and business strategy by making insightful contributions to team priorities and approach.
  • You will take the lead in identifying and solving ambiguous problems, science deficiencies, or areas where your team’s solutions bottlenecks the innovation of other teams. You will make solutions simpler.
  • You should be comfortable building prototypes, testing and improving them given the feedback from the real time data.
  • You should be able to present your model and findings to a various range of stakeholders.

An ideal candidate will have deep and broad expertise across at least one ML Science discipline. The candidate will be expected to develop and deliver end-to-end solutions which include numerous aspects of Machine Learning such as feature engineering, predictive modeling, probabilistic modeling, hyper-parameter tuning, etc.

Basic Qualifications

  • Bachelor's Degree
  • 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
  • 2 years working as a Data Scientist

Preffered Qualifications

  • Proficiency in model development, model validation and model implementation.

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