Data scientist Manager

Description

Summary: The Data Scientist will design, develop, and deploy data-driven solutions to solve complex business problems using advanced analytics, machine learning, and statistical techniques. Highlights: 1. Develop and deploy data-driven solutions using advanced analytics and ML 2. Build and optimize machine learning pipelines 3. Explore and implement generative AI based solutions and agent workflows Job Summary The Data Scientist will design develop and deploy data driven solutions to solve complex business problems. This role involves applying advanced analytics machine learning and statistical techniques to extract insights from large and diverse datasets. The position also collaborates closely with engineering and product teams to deliver scalable models intuitive interfaces and intelligent applications that create measurable business value. Responsibilities Data Analysis and Modeling Analyze structured and unstructured data to identify patterns trends and actionable insights. Develop validate and deploy statistical and machine learning models to support data driven decision making. Machine Learning Development Build and optimize machine learning pipelines covering data preprocessing feature engineering model training evaluation and monitoring. Programming and Data Engineering Write high quality maintainable code primarily using Python to implement data science solutions and integrate them into production systems. Visualization and User Interfaces Collaborate with frontend teams and contribute to the development of interactive user interfaces using modern UI components such as React to present insights and model outputs effectively. Cloud and Platform Integration Develop and deploy data science solutions on AWS leveraging cloud services for compute storage and model deployment. Generative AI and Agentic Capabilities Explore and implement generative AI based solutions and agent driven workflows to enhance automation intelligent decision support and advanced analytics capabilities. Collaboration and Communication Work closely with stakeholders engineers and product owners to translate business requirements into analytical solutions and clearly communicate findings and recommendations. Required Technical and Professional Skills Strong expertise in data science concepts machine learning algorithms and statistical modeling Advanced proficiency in Python for data analysis and model development Solid understanding of data visualization and frontend integration with experience in React components Hands on experience with AWS for developing and deploying data science solutions Exposure to generative AI and agent based systems is a strong plus Excellent analytical thinking problem solving and communication skills