Amazon Applied Scientist Customer Targeting 

United States, Washington, Seattle 

605711864

This role requires an individual with strong quantitative modeling skills and experience using statistical methods. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment.You will be expected to:
- Leverage knowledge of statistics and optimization to frame decision-making problems for determining marketing spends across channels.- Use analytical and predictive techniques to build models for optimizing targeting.
- Present proposals and results in a clear manner backed by data and coupled with actionable conclusions.

- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience building machine learning models or developing algorithms for business application
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- 2-7 years experience in deep learning, machine learning, and data science.
- Proficiency in coding and software development, with a strong focus on machine learning frameworks.
- Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
- Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting.