Bachelor's degree in such as (Statistics, Mathematics, Quantitative Finance, Operational Research or Computer Science) with 2+ years of industry work experience or Master's degree in the related field
Experience in statistical techniques such as classification, clustering, regression, statistical inference etc
Analytical mindset and ability to see the big picture and influence others
Detail oriented and must have an aptitude for solving unstructured problems. The role will require the ability to extract data from various sources and to design/construct/execute complex analyses to finally come up with data/reports that help solve the business problem
Ability to apply analytical, computer, statistical and quantitative skills to problem solving
Ability to work effectively in a multi task, high volume environment
Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations
Job summary As a Research Scientist, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, you should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. Key job responsibilities Responsibilities: Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon's platform and transactions Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams Develop efficient data querying infrastructure for both offline and online use cases Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes Learn and understand a broad range of Amazon's data resources and know when, how, and which to use and which not to use Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations Provide mentor-ship and technical guidance to Data Scientists on the team About the team Did you ever have a situation where you were shown an embarrassing content when you were sharing a screen with your parent or child? Did you ever feel the content is not of high quality or irrelevant? Do you want to be part of the solution that Amazon is working on to make sure you or millions of Amazon customer never face this? Do you want to be part of the team that is responsible for the Amazon Advertisement experience to its world wide customers? If you are wondering, then welcome to Campaign & Creatives (CCS Fixed) Platform Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities and looking for passionate software engineers with a drive to innovate and solve complex problems. Experience of advanced machine learning techniques such as GBM, random forest, etc.
3+ years of writing SQL queries in a high volume database environment
Demonstrated use of analytical packages and query languages in Python
Experience in data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or MATLAB)
Experience in e commerce / on line companies in fraud / risk control functions
Exposure to software development process
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