DH Data Scientist

KRA1

Digital Strategy Development

• Stay abreast of the latest developments in data science and related technologies, assessing their potential impact and recommend incorporation into the organization’s digital strategy
• Continuously assess and provide inputs to refine data science practices and strategies to ensure alignment with evolving business needs (New Fuels, Raw material, Equipment design or technology, or Product innovation) and Industry 4.0 technological advancements.
• Facilitate the redesign of business processes through digital solutions such as Generative AI and Knowledge graph, adopting a design thinking approach for ideation and employing Agile methodology for efficient execution.
  
  

KRA2

Big Data Analytics and AI/ML

Utilize tools and methodolgies eg: Python, PowerBI, Orange, GPTs for analyzing trends & patterns within big data sets to inform business decisions across functions & at all levels. Clean, preprocess, & transform the data to ensure it's of high quality, with missing values handled & outliers addressed.

Employ advanced analytics techniques for predictive modeling & machine learning algorithms like Neural Networks, XGBoost, Autoencoders etc to improve process and equipment reliability & resiliance to ever-increasing external sources of variability.

Employ data science techniques to monitor and optimize energy usage, & Develop models to predict & manage energy consumption effectively.r Create visually compelling data visualizations and reports to effectively communicate insights to non-technical stakeholders.

Develop solutions for waste reduction, emissions control, and sustainable resource utilization across value chain, with ever ambitious targets. This includes models which help increase Alternative fuel substitution as well as maximizing power generation from waste gases.

Test, iterate, and deploy above tools as part of Pilot programs, inline with digital strategy roadmap.

Conduct hands-on testing and validation of AI/ML models to gauge their effectiveness and refine their performance continually.

KRA3

Strengthen Digital Adoption

• Work closely with different business units to understand their needs and integrate data science solutions into their digital strategy.
• Implement continuous monitoring processes for AI models to ensure performance accuracy, detect drift, and make timely adjustments.
• Ensure success of Pilots in close coordination with Corporate functions and Plant crossfunctional teams
• Ensure seamless handover of solutions to Digital Execution team for scale up, and continuously monitor for improvement areas. Document the entire project, including data sources, methodologies, model architecture, and any decisions made throughout the process.
• Help maintain robust governance frameworks for AI models, ensuring adherence to ethical standards, data privacy laws, and company policies.
  
  

KRA4

Drive Research-Driven Partnerships

• As per Digital stategy roadmap, Identify and implement approved innovative data and AI/ML based solutions, internally as well as in collaboration with partner ecosystem.
• Work closely with Startups and OEMs for adaptation (merging domain with digital) of data science tools into business use cases.
• Monitor progress of research projects with internal teams as well as tie-ups with Universities and Startups, and report for support as needed.
  
  

KRA5

Digital Capability and Mindset Building

• Participate in advocacy for a data-driven culture within the organization, educating stakeholders on the importance and utility of data science in strategic planning.
• Participate in training initiatives on Data Science, and Industry 4.0 technologies.
• Drive knowledge sharing of digital concepts across manufacturing teams through digital champions at each plant.