Data Scientist
1 week ago
Overview Wipro Limited is a leading global information technology, consulting and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help our clients adapt to the digital world and make them successful. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 220,000 dedicated employees serving clients across six continents. Together, we discover ideas and connect the dots to build a better and a bold new future. Data Scientist Role Summary : Data Scientist focused on data analysis, visualization, data pipelines, and operational data science workflows. Responsibilities Data Analysis & Insights: Perform data analysis and statistical modeling using AWS Redshift data; develop predictive models and machine learning algorithms; generate actionable insights from large datasets; conduct data quality assessments and validation. Dashboard & Visualization Development: Create and maintain interactive dashboards in AWS QuickSight; design data visualizations to support business decision-making; optimize dashboard performance and user experience; ensure data accuracy in reporting and visualizations. Data Pipeline & Engineering Support: Monitor and troubleshoot AWS Glue jobs and data ingestion processes; support CI/CD pipelines with data-focused monitoring and validation; assist with GitLab pipeline configurations for data workflows; support AWS Lambda functions related to data processing; collaborate on Infrastructure as Code (IaC) for data infrastructure. Data Science Operations: Monitor data pipelines and flag data quality issues; collaborate with technical teams on data requirements; support data governance and best practices implementation; assist in data model validation and testing. Documentation & Reporting: Document analytical methodologies and findings; prepare regular reports on data insights and model performance; conduct monthly progress meetings (1 hour) to present findings; maintain project documentation on SHIP-HATS Confluence; track analytical tasks through SHIP-HATS Jira. Qualifications Strong background in data science, statistics, and machine learning Proficiency in data analysis tools (Python, R, SQL) Experience with AWS data services (Redshift, QuickSight, S3, Glue, Lambda) Data pipeline development and troubleshooting experience Basic CI/CD pipeline knowledge (GitLab preferred) Infrastructure as Code (IaC) familiarity for data environments Data visualization and dashboard development skills Strong analytical thinking and problem-solving abilities Excellent documentation and presentation skills We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law. #J-18808-Ljbffr
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