Job Title: Data Scientist
Salary Package: ₹20,000 – ₹40,000 a Month
Company Name: Amazon
Job Location: Bangalore, Karnataka
Qualification : Bachelor’s Degree
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
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.