Chemical Data Scientist

6 days ago


Chennai, Tamil Nadu, India DigiTwin Technology Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Company Description

DigiTwin is a pioneering DeepTech company at the forefront of Industry 4.0 innovations. The organization specializes in providing cutting-edge digital manufacturing solutions, including Digital Twins, IIoT (Industrial Internet of Things), AI/ML (Artificial Intelligence & Machine Learning), and state-of-the-art platforms designed for manufacturing and process-focused industries. DigiTwin is dedicated to empowering industrial processes with advanced technologies to optimize efficiency and productivity. Join us to be a part of revolutionizing the future of manufacturing and industry.

Role Description

This is a full-time on-site role for a Chemical Data Scientist, based in Chennai. The Chemical Data Scientist will focus on analyzing complex chemical data sets, creating predictive models, and developing optimization algorithms to improve manufacturing and industrial processes. Day-to-day responsibilities include collecting, processing, and interpreting large-scale datasets, designing machine learning pipelines, and collaborating closely with engineers and domain experts to implement data-driven insights. The role also involves staying updated on the latest advancements in AI, chemical, and process engineering technologies.

Qualifications

  • Strong skills in Data Analysis, Predictive Modeling, and Data Processing
  • Experience with Machine Learning (ML), Artificial Intelligence (AI), and developing algorithms for process optimization
  • Proficiency in programming languages like Python, R, or MATLAB, and familiarity with data visualization and statistical platforms
  • Background in Chemical Engineering, Process Engineering, or a related field
  • Excellent problem-solving, analytical thinking, and attention to detail
  • Effective communication skills and the ability to work collaboratively in cross-functional teams
  • Master's or degree in Chemical Engineering, Data Science, or a relevant discipline is preferred
  • Prior experience in manufacturing, industrial processes, or working with Digital Twin technologies is a plus

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