Support the team providing end-to-end solution, starting from understanding the requirements, creating research proposals, implementation of the research by exploring different methods and algorithms, documenting and presenting results.- Use analytical and statistical methods, programming and data modeling to analyze large amounts of data and come up with actionable insights- Generate and test hypotheses, designing experiments to answer targeted questions of advanced complexity- Documents projects including business objectives, data gathering and processes, leading approaches, final algorithm, and detailed set of results and analytical metrics- Work with Product Business Analysts, data scientists, ML engineers, business stakeholders and other technology teams to ensure quality solution is delivered at enterprise scale- Provide thought leadership by researching standard methodologies in AI/ML, collaborating and contribute actively on the standards and best practices - Take ownership and have end to end responsibility from planning stage to presenting results-Work in an agile environment by continuously reviewing the business needs, refining priorities, outlining milestones and deliverables, and identifying opportunities and risks-Create features and functionalities which enable achievement of business goals by collaborating with stakeholders-Create and support the product backlog prioritizing features which enable maximizing the business value-Facilitate backlog decomposition sessions with the technology teams to clearly define requirements from a user perspective, inclusive of acceptance criteria breaking down large stories for the team to consume in one sprint-Participate in the testing /review sessions and provide support for release- Contribute to the team in various aspects knowledge sharing, guidance to more junior members, contribute to shared code library, establish best practices and methodologies.
