Sr.Business Research Scientist

Job description

DESCRIPTION

About Amazon.com:
Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.

About Team
The RBS is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best price, wide selection and good product information. The team’s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled by this group have a direct impact on customer buying decisions and online user experience.

Overview of the role
This is a Senior leadership role in RBS with primary responsibility to build an ecosystem that will enable Research Analysts at RBS to leverage Data Sciences, ML and DL to solve business problems at scale. The leader will play a significant part in helping RBS meet its Top line and bottom line goals. You will collaborate with global Business and Tech teams on several of these goals. You will constantly stretch the boundaries of Data analytics to derive the business insights and entitlement for business problems. If you are customer obsessed, self-driven, tenacious and analytical, you will have fun solving our business problems of unprecedented scale. As an experienced research analyst, you will help/mentor other research analyst and develop new algorithms leveraging both classical and deep learning techniques.

Key Responsibilities for this Role:-
· Take ownership of a complex problem statement and define solution strategy to holistically solve that problem for RBS. Scoping, driving and delivering complex projects across multiple teams.
· Big data analysis to identify the defects patterns/process gaps and come up with long term solutions to eliminate the defects/issues.
· Build ecosystem for research analyst and scalable platform for RBS along with cross functional team
· Should be able to communicate effectively with business teams, tech teams as well as scientists from different groups
· Reviews and Makes recommendations that impact development schedules and the success for a product or project.
· Coordinates design effort between internal team and External team to develop optimal solutions for their part of project for Amazon’s network.
· Supports identification of down-stream problems (i.e. system incompatibility, resource unavailability) and escalate them to the appropriate level before they become project-threatening.
· Performs supporting research, conduct analysis of the bigger part of the projects and effectively interpret reports to identify opportunities, optimize processes, and implement changes within their part of project.
· Influence all level either to gather data and information or to execute and implement according to the plan.
· Ability to deal with ambiguity and problem solver
· Communicate ideas effectively and with influence (both verbally and in writing), within and outside the team.

Key Performance Areas:
· Solve large and complex business problems by aligning multiple teams together.
· Data analytics and Data Sciences
· Machine learning (Deep Learning)

PREFERRED QUALIFICATIONS

· Master degree / MBA
· Experience on product development
· Expertise in Python and Data Analytics
· Expertise in Text mining
· Expertise in Deep learning models

Desired profile

BASIC QUALIFICATIONS

· Master’s degree or higher in Engineering or Business.
· Thorough knowledge of Statistics, Data Sciences and Machine Learning.
· 5+ years of experience in using machine learning to solve business problems and building ML services
· Expert level competency in Python and its packages.