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
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Perform advanced data analysis using statistical and analytical techniques
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Develop, deploy, and interpret predictive and AI/ML models
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Build and apply dynamic process models for industrial systems
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Translate complex data insights into actionable recommendations
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Collaborate with cross-functional teams and present findings effectively
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Support on-site installation and commissioning activities as required
Required & Preferred Skill Sets
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Strong proficiency in Data Science, Data Analytics, and Data Analysis
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Advanced expertise in Statistics, Analytical Skills, and Dynamic Process Modelling
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Proven experience in predictive model creation, deployment, and interpretation
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Proficiency in Python or R, with familiarity in data visualization tools
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Excellent problem-solving, mathematical, and analytical thinking abilities
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Strong communication and presentation skills for multidisciplinary collaboration
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Master’s degree in Data Science, Statistics, Computer Science, or related field (preferred)
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Experience with AI and Machine Learning in industrial domains (Thermal Power, Oil & Gas, Chemical) is a strong plus
Work Conditions
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Work From Home (WFH) from respective locations
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Willingness to travel and stay at installation/commissioning sites (New Delhi) during project phases
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Candidates available to join within 15–30 days are preferred
