Job Title: Data Scientist / Advanced Data Analytics Specialist Exp- 5+ Years Notice Period: Immediate to 30 days preferred. Location: WFH (Ready to travel and stay at installation/commissioning sites at New Delhi) About Us At Codvo.ai, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. Role Overview We are looking for a highly skilled Data Scientist with strong capabilities in data science, data analytics, and advanced statistical modeling to develop and deploy predictive and dynamic process models for industrial applications. Key Responsibilities Perform advanced data analysis using statistical and analytical techniques Develop, deploy, and interpret predictive and AI/ML models Build and apply dynamic process models for industrial systems Translate complex data insights into actionable recommendations Collaborate with cross-functional teams and present findings effectively Support on-site installation and commissioning activities as required Required & Preferred Skill Sets Strong proficiency in Data Science, Data Analytics, and Data Analysis Advanced expertise in Statistics, Analytical Skills, and Dynamic Process Modelling Proven experience in predictive model creation, deployment, and interpretation Proficiency in Python or R , with familiarity in data visualization tools Excellent problem-solving, mathematical, and analytical thinking abilities Strong communication and presentation skills for multidisciplinary collaboration Master’s degree in Data Science, Statistics, Computer Science, or related field (preferred) Experience with AI and Machine Learning in industrial domains (Thermal Power, Oil & Gas, Chemical) is a strong plus Work Conditions Work From Home (WFH) from respective locations Willingness to travel and stay at installation/commissioning sites (New Delhi) during project phases Candidates available to join within 15–30 days are preferred
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