Minimum Qualification:Bachelor’s degree required in Electronics and Communication Engineering, Electrical Engineering, Computer Science Mathematics or closely related fields.· Understand a problem statement and implement analytical solutions and techniques independently or with minimal supervision· Use problem solving methodologies to propose creative solutions to solve business problem. Recommend design and develop state-of-the-art data driven analysis using statistical and advanced analytics methodologies to solve business problems· Conduct research, requirements gathering, solution scoping and data collection· Develop models and recommend insights. Form hypothesis and run experiments to gain empirical insights and validate hypothesis. Identify and eliminate possible obstacles and identify alternative creative solution· Integrate and mine large data sets, connecting data from disparate sources to identify insights and patterns using predictive and prescriptive analytics, and machine learning techniques· Ensure regular client updates and meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution and success metrics is done effectively and efficiently· Represent clarity at client meetings with a goal of increasing face time with key executives and decision makers· Proactively identify potential issues and drive resolution to avoid customer impact and facilitate continuous improvement· Provide consultation and guidance regarding the implementation of data science and analytics driven business strategies including advance statistics and modeling problems· Provide support to data analytics engineers in development across Saarthee products· Communicate results and the value of the results to business leaders · · Develop and enhance Saarthee proprietary intellectual property· Develop solutions to enhance the self-service analytics capabilities aligning with the steadily changing business requirements