Amazon Business Research Analyst II RBS Size/Fit 

India, Karnataka, Bengaluru 

102570092

Overview of the role
The Business research Analyst will be responsible for data and Machine learning part of continuous improvement projects across compatibility and basket building space. This will require collaboration with local and global teams, which have process and technical expertise. Therefore, RA should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. In compatibility program, RA perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. RA also continuously improve the ML solution for higher solution accuracy, efficiency and scalability. RA should writes clear and detailed functional specifications based on business requirements as well as writes and reviews business cases.Key job responsibilities
• Scoping, driving and delivering complex projects across multiple teams.
• Performs root cause analysis by understand the data need, get data / pull the data and analyze it to form the hypothesis and validate it using data.
• Conducting a thorough analysis of large datasets to identify patterns, trends, and insights that can inform the development of NLP applications.
• Developing and implementing machine learning models and deep learning architectures to improve NLP systems.
• Designing and implementing core NLP tasks such as named entity recognition, classification and part-of-speech tagging.
• Dive deep to drive product pilots, build and analyze large data sets, and construct problem hypotheses that help steer the product feature roadmap (e.g. with use of Python), tools for database (e.g. SQL, spark) and ML platform (tensorflow, pytorch)
• Conducting regular code reviews and implementing quality assurance processes to maintain high standards of code quality and performance optimization.
• Providing technical guidance and mentorship to junior team members and collaborating with external partners to integrate cutting-edge technologies.
• Find the scalable solution for business problem by executing pilots and build Deterministic and ML model (plug and play on readymade ML models and python skills).
• Performs supporting research, conduct analysis of the bigger part of the projects and effectively interpret reports to identify opportunities, optimize processes, and implement changes within their part of project.

Basic Qualifications
• Ability to analyse and then articulate business issues to a wide range of audiences using strong data, written and verbal communication skills
• Good mastery of BERT and other NLP frameworks such as GPT-2, XLNet, and Transformer models
• Experience in NLP techniques such as tokenization, parsing, lexing, named entity recognition, sentiment analysis and spellchecking
• Strong problem-solving skills, creativity and ability to overcome challenges
• SQL/ETL, Automation Tools
• Relevant bachelor’s degree or higher
• 3+ years combined of relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. a mix of experience across different roles
• Be self motivated and autonomous with an ability to prioritize well, and remain focused when working within a team located in across several countries and time zones

Preferred Qualifications
• 3+ years combined of relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. a mix of experience across different roles
• Understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service
• Experience with computer vision algorithms and libraries such as OpenCV, TensorFlow, Caffe or PyTorch.
• Technical expertise, experience in Data science and ML