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