AddressProduct Analyst
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.
- Coordinates design effort between internal team and external team to develop optimal solutions for their part of project for Amazon's network. Ability to convince and interact with stakeholders at all level either to gather data and information or to execute and implement according to the plan.
