Workoopolis

Bangalore, Karnataka

Responsibilities: Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform Evaluating emerging datasets and technologies that may contribute to our analytical platform Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies. Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability. Collaborate with the engineering team to implement and deploy data sciencesolutions into production, ensuring seamless integration with existing systems. Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible data science workflows.Key Responsibilities: Experience with the design and development of Tableau visualization solutions. Experience with the creation of users, groups, projects, workbooks and the appropriate permission sets for Tableau server logons and security checks. Dashboards and document designing experience. Strong DW-BI Skills; Data modelling and advanced Reporting experience. Advanced knowledge of reports performance optimization; Perform administrative and support activities across a multi-environment Tableau infrastructure including security administration, release management, troubleshooting and general systems maintenance.