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