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Description

Are you passionate about leveraging data to deliver actionable insights that impact daily marketing activities at Amazon? The Customer Targeting team in Amazon is seeking an Applied Scientist to join our team to develop models for optimizing the performance of Amazon’s marketing initiatives across channels and advertising formats. You have experience applying modern machine learning methods to answer key business questions, make strategic and tactical recommendations for change, and work with business leaders to drive these to production. You are entrepreneurial and able to work in a highly collaborative environment.

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.

• Predict future customer behavior and business conditions through machine learning and predictive modeling.

• 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.

Basic Qualifications

• 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.

Preferred Qualifications

• Advanced degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field

• Track record of diving into data to discover hidden patterns and conducting error/deviation analysis

• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations

• Exceptional level of organization and strong attention to detail

• Comfortable working in a fast paced, highly collaborative, dynamic work environment

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location 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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.