Job Summary
5 - 8 years
• Software Engineer,
• Computer Programmers, Other,
Data Entry Machine Operator,
• Computer Programmer
Last Date to Apply
15 Nov 2020
Data Scientist
Posted on: 16 Sep 2020
Job Description

Job Description :
Amazon 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 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.

Amazon Seller Services is looking for a data Scientist to work hands on from concept to delivery on statistical analysis, prescriptive and predictive analysis, and Machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a solid understanding of statistics & Machine learning algorithm as well as a practical understanding of collecting, assembling, cleaning and setting up disparate data from enterprise systems.

Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question
Given a business problem, estimate solution feasibility and potential approaches based on available data
Understand what data is available, where, and how to pull it together. Work with partner teams where needed to facilitate permissions and acquisition of required data
Quickly prototype solutions and build models to test feasibility of solution approach
Build statistical models/ ML models, train and test them to and drive towards the optimal level of model performance
Work with technology teams to integrate models by wrapping them as services that plug into Amazon's marketplace and fulfillment systems
Work across the spectrum of reporting and data visualization, statistical modeling and supervised learning tools and techniques and apply the right level of solution to the right problem
The problem set covers aspects of detecting fraud and abuse, improving performance, driving lift and adoption, recommend the right upsell to the right audience, cost saving, selection economics and several others.
Basic Qualifications :
A MS or PhD in Computer Science or Machine learning or Operational research or Statistics or in a quantitative field.
5+ year of experience and an advanced degree in a technical field, preferably statistics, math or computer science is desired
A very strong grounding in applied statistical modeling and a very strong grasp of statistical concepts. Must be comfortable in the world of numbers, models, and algorithms
A strong level of proficiency in Python is required
Willingness to dive deep and work on difficult and ambiguous problems with unknown outcomes.
Ability to partner and work efficiently with partner teams and stakeholders is critical.
Strong grasp of Machine learning, data mining and data analytics techniques
Strong Problem solving ability.
Understanding of how to apply predictive and Machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM etc is required
Understanding of databases (RDBMS, NOSQL) from a perspective how to write queries and pull data from them is essential.
Preferred Qualifications :
A strong level of proficiency in SAS, R is preferred
Past experience of putting Machine Learning model in production is preferred.
Past publications in journals of repute.
Conceptual understanding of Hadoop and cloud computing like AWS is preferred
Demonstrated participation in contests like Kaggle is a plus
Experience in the eCommerce, marketplace or supply chain areas is a plus.
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