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Job: Project Scientist III (Data Analyst) Apply here Project title : NDMC Phase II: Developing Models to Estimate and Project Disease Burden to Inform Control and/or Elimination Strategies for Priority Diseases in India About the project: IIT Bombay is the anchor organization of the National Disease Modelling Consortium (NDMC). The consortium partners with various institutions in the country for disease modelling work. The objective of the project is to address policy and programmatic questions through India-specific disease models, to improve disease control and intervention strategies in the country. More information about the consortium can be found at www.ndmconsortium.com Essential Qualifications & Experience: PhD in data sciences with minimum 2 years relevant experience / MSc data sciences with 5 years experience OR PhD in Computer Engineering or any other engineering / MTech Data science, Computer science, Statistics or related field with minimum 3 years relevant experience/ BTech/BE/BDes or equivalent engineering degree with minimum 5 years of experience Desirable experience At least 8-10 years of experience in data science, with a proven track record in managing and supervising data science teams. Strong proficiency in R and Python for data analysis and modeling, along with extensive SQL skills for database management. Comprehensive understanding of Azure/cloud-based server and database development, with demonstrated experience in implementing cloud solutions Exceptional analytical abilities and familiarity with statistical techniques relevant to data interpretation. Experience with data visualization tools, such as Tableau and Power BI. Strong leadership, critical thinking, and problem-solving skills, with the ability to work collaboratively across teams. Job Profile: Lead and mentor a team of data scientists, facilitating collaboration, knowledge sharing, and professional growth to achieve project goals. Oversee the design and implementation of efficient database schemas and structures, ensuring optimal performance and scalability while maintaining data integrity and security. Guide the development, maintenance, and optimization of databases that support data storage and retrieval processes, including executing complex SQL queries for data manipulation. Drive the development of advanced data analysis and modeling, utilizing programming languages such as R and Python. Manage ETL (Extract, Transform, Load) processes to ensure data is prepared for analysis and reporting efficiently. Hands on experience working with data systems and platforms such as Azure Data Factory, Azure Storage, Data Lake, Azure Synapse, Databricks or similar Solid understanding of Cloud based data management, data analytics principles and tools Promote the use of data visualization tools (such as Tableau and Power BI) to communicate effectively and enhance understanding across the organization. Clearly communicate complex methodologies, findings, and analytical results to multidisciplinary teams and external partners. Contribute to the preparation of comprehensive research reports and presentations. Pay Details: Consolidated salary 78,000+HRA (if applicable) p.m. Show more Show less
