Job Description

Masters in Computer Science, Computer Engineering or related technical discipline

• Expertise in Computer vision and familiar with text processing
• Relevant applied sciences experience
• A deep understanding of algorithms, ML, and some exposure to big data systems
• A track record of shipping models to production on time.
• Prior experience with agile methodologies
• Experience in software engineering an added plus.

Job summary
As a Data 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
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
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