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Applied Scientist-1

5.00 to 10.00 Years   Bangalore   14 Apr, 2022
Amazon
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaBio Tech / R&D / ScientistGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Job summaryAs Amazon India, we are a fast evolving multi-billion dollar business with a huge potential to grow in a trillion dollar market. As part of The India Consumer Technology (ICT) group, the Category Experience & Expansion (Catex) teams charter is to take IN business to the next level by building capabilities that can convert millions of offline customers in India into online customers. This tech team plays a pivotal role in Amazon Indias success, with the mission to build tailor-made solutions for each category, by making it easy for customers to buy online. This is a great opportunity to be part of a team that is responsible for building a successful, sustainable and strategic products for India and then launch them Amazon Worldwide!Do you want to solve customer problems using machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon s customers Do you want to build and deploy advanced algorithmic systems that recommend products that match customer s needs and expectations Are you comfortable working in a fast-paced environment where delivery of new products and features is very rapid If yes, then you may be a great fit to join the OHL team.Major responsibilities Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon s historical business data to help automate and optimize key processes Design, development, evaluate and deploy innovative and highly scalable models for predictive learning Research and implement novel machine learning and statistical approaches Work closely with software engineering teams to drive real-time model implementations and new feature creations Work closely with business owners and operations staff to optimize various business operation. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Mentor other scientists and engineers in the use of ML techniques, MS or PhD in Computer Science/Machine learning/Operational research/Statistics or in allied areas 5+ years of hands-on experience in applied Machine Learning and Big data Strong grasp of machine learning, data mining and data analytics techniques Strong problem-solving ability Understanding of computer science algorithms and data structures Strong expertise in one of the Machine Learning domains like NLP, Computer Vision, Reinforcement Learning, etc. Working knowledge of SQL or related languages for data processing Strong knowledge of scientific programming in languages like Python PHD in any of the following disciplines - Computer Science, Machine Learning, Data Mining, Statistics, Operational Research Superior verbal and written communication skills Ability to convey rigorous mathematical concepts and considerations to non-experts Experience of working with large scale data on distributed system using languages like Spark, Scala, etc. Publications in top-tier conferences and journals

Keyskills :
model validationmachine learningproblem solvingdata miningdata analyticscomputer science

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