Data Scientist Qualification Bachelors in science, engineering or equivalent Responsibility Requirement Understanding and Analysis : Review the raw requirements to understand the key outcomes expected by the client. Provide technical guidance to the team to identify the data source and review data profiling to understand the data and its quality. Review logic that needs to be incorporated in the architecture to ensure the data meets the requirements. Identify POC requirement to conduct the feasibility of the requirement, if required. Data Discovery & Profiling Understand the relationships across different data sources and domains and provide guidance to an Analyst. Post signoff, design complex queries to analyze the existing data and provide critical business insights. Share sample data with the client to give snapshot of the expected outcome. Review a low level design document capturing SQL queries to achieve the target state. Review system integration testing during data migration from the source to the target state to ensure the requirements are met. Provide technical guidance to the team to resolve complex issues. Data Analytics & Reporting Design qualitative & quantitative research instruments (example: surveys, interviews etc) to capture the data if required. Integrate qualitative & quantitative information to create insights. Design development of new statistical algorithms. Run various statistical analysis on the data collected from different sources to derive business insights and evaluate the business risks based on the statistical analysis. Stakeholder Management Interact with the client on a regular basis to provide regular project status update, resolve any issues. Coordinate with internal teams to get work done. Present analysis to the client along with senior stakeholders in the organization. Knowledge Management Create and update knowledge articles (industry Point of View, Case studies, lessons learnt document etc) in the knowledge management repository. Maintain knowledge management database. People Management Understand aspirations of the team Data Analysts. Set goals for them and monitor performance. Coordinate with different stakeholders in understanding how the employee can better contribute to the project, seek feedback and address concerns. Provide technical guidance to team members through the project lifecycle. Conduct performance appraisal for team members. Support organization level activities such as recruitment by conducting technical facetoface interviews as required. Coordinate with Academy to build training material, organize/ conduct trainings as required. Innovation & Thought Leadership Keep up with the upcoming trends in Big Data and Analytics and constantly strive to learn and improve on the same. Discuss with senior stakeholders in the organization to improve self knowledge. Sales Support Based on the inputs shared by the stakeholders. provide inputs on RFPs on data profiling and system analysis aspects. Evaluate/ identify the tools best fit for customer requirement. Must Have Skills MS Power BI Anaplan Employee Status : Full Time Employee Shift : Day Job Travel : No Job Posting : Oct 26 2023 About Cognizant Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us Cognizant. 00055979771