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Senior Applied Scientist, Retail Pricing

Job ID: 1740085 | Amazon.com Services LLC

DESCRIPTION

Retail Pricing Science is a centralized machine learning team that develops models, solutions, and platforms that drive pricing for products sold by Amazon wordwlide, with a dual focus on both competitiveness and long term financial optimality.

We are seeking experienced Senior Machine Learning Scientists to develop innovative pricing, promotions, and demand models that adapt to constantly shifting marketplace dynamics, all while scaling to hundreds of millions of products globally

Major responsibilities include:
· You will partner with scientist, economists, engineers, and product leaders to break down complex pricing challenges, identify key requirements, innovate, design, & deploy appropriate scientific solutions, and successfully drive the creation of positive customer and business impact
· You are adept at translating business objectives into specific quantitative approaches that can be solved with the vast amount of available Amazon data
· You have an eye for opportunity, and are able to identify and propose new long term science initiatives, and lead planning & funding discussions with senior leadership
· You are passionate about people, and will act as a mentor and guide for other scientists in Pricing
· You are comfortable adapting your written and verbal presentation of results to audiences of varying levels of technical sophistication


To know more about Amazon science, Please visit https://www.amazon.science

BASIC QUALIFICATIONS

· PhD degree with 4+ years of applied research experience or a Master's degree and 6+ years of experience of applied research experience
· 3+ years of experience in building machine learning models for business application
· Experience programming in Java, C++, Python or related language
· Ph.D./M.S. in Computer Science, Machine Learning, Statistics or a related quantitative field
· 5+ years of full time hands-on employment or postdoc experience building and validating predictive machine learning models
· Extensive experience working with a broad set of linear and non-linear machine learning algorithms, such as Gradient Boosting, Deep Learning, or Reinforcement Learning
· 2+ years hands-on experience in Python, Scala, Java, C#, C++ or other similar languages
· 1+ years professional experience in software development
· Ability to convey algorithmic insights to a diverse set of technical and non-technical audiences

PREFERRED QUALIFICATIONS

· Ph.D. in Computer Science, Machine Learning, Statistics or a related quantitative field
· Financial quantitative analysis or market making experience
· Submitted Patents, and/or peer-reviewed scientific contributions in premier journals and conferences
· Strong fundamentals in data structures, problem solving, algorithm design and complexity analysis
· Experience working with multiple data modalities, including Images, Text, and Structured datasets
· Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts

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