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Applied Scientist II, Price Error Detection, Bangalore

Created11/25/2021
Reference1816035
CategoryData Science
Job typeFull Time
CountryIndia
CityBangalore
SalaryCompetitive
Description:
Job summary
Retail Pricing is core organization that is responsible for generating prices for worldwide Amazon inventory. The Pricing systems are responsible for determining and publishing prices automatically, for the millions of items that Amazon sells worldwide ranging from Books to Consumer Electronics to Shoes. Each country presents a unique set of complexities in generating the price.

As part of Price Error Detection team you will play a key role in the evolution of our machine learning/Statistical algorithms for identifying erroneous prices. The challenge comes in with diverse pricing strategies and individual marketplace specifics. You would be working closely with Scientists from different pricing strategies, dedicated data-engineering support for the space.

As an Applied Scientist, you will design, develop, and maintain scalable, Machine Learning models with automated training, validation, monitoring and reporting. You will work closely with other scientists and engineers to architect and develop new learning algorithms and prediction techniques. You will collaborate with product managers and engineering teams to design and implement scientific solutions for Amazon problem. Provide technical and scientific guidance to your team members. Contribute to the research community, by working with other scientists across Amazon and publish papers at peer reviewed journals and conferences.

Opportunity:
Are you seeking an environment where you can drive innovation? Do you want to better understand how Amazon fosters customer trust globally with its pricing decisions? Does the challenge of applying state-of-the-art applied science to define/design/build algorithms powered by large scale systems that solve real-world problems interest you? Do you have a passion for taking complex business inputs and processes and designing algorithms for safe-guarding customer trust and balance Amazon Profitability? To meet these challenges, Pricing Error Detection(PED) team is looking for passionate and innovative Applied scientist with a blend of technical, analytical and design skills who will work with other scientists and software engineers, product managers across cross-functional teams to help build out the next generation pricing optimization worldwide.

Key job responsibilities
As an Applied Scientist, you will design, develop, and maintain scalable, Machine Learning models with automated training, validation, monitoring and reporting. You will work closely with other scientists and engineers to architect and develop new learning algorithms and prediction techniques. You will collaborate with product managers and engineering teams to design and implement scientific solutions for Amazon problem. Provide technical and scientific guidance to your team members. Contribute to the research community, by working with other scientists across Amazon and publish papers at peer reviewed journals and conferences.

Basic Qualifications:
• M.S. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field with 3+ years of hands-on experience in data science with deep and demonstrable expertise in at least one topic or application of machine learning.
• 2+ years hands-on experience in Python, Perl, Scala, Java, C#, C++ or other similar languages
• 1+ years professional experience in software development
• Proficiency in model development, model validation and model implementation for large-scale applications
• Ability to convey mathematical results to non-science stakeholders
• Strength in clarifying and formalizing complex problems

Preferred Qualifications:
• Ph.D. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
• Practical experience applying ML to solve complex problems in an applied environment
• Strong Computer Science fundamentals in data structures, problem solving, algorithm design and complexity analysis
• Experience with defining research and development practices in an applied environment
• Proven track record in technically leading and mentoring scientists
• Superior verbal, written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts
EmployerAmazon