Data Scientist - Energy/Utility/Power/Oil & Gas/Renewable Energy - PAN India

Experience:

Total Experience 13+ years and in field of Data Science 6+ years

Role:

Design, develop and deploy various Data Science Industrial Solutions using Python and Azure Technologies

Skills:

Desired Skills:

• Strong problem-solving skills with an emphasis on product development.
• Leading the team of Engineering data scientists
• Designing AI/ML solutions to solve business problems
• Developed & Deployed Machine Learning, Deep Learning models for industrial problems having large data sets (Numerical, Categorical and Time Series Data)
• Developed & Deployed Computer Vision and Deep Learning Models for industrial problems (Images, Videos)
• Experienced in using Python in developing and deploying Statistical, Machine Learning or Deep Learning models, custom algorithms to solve various business problems to generate valuable insights
• Experienced in Optimization techniques like Genetic Algorithms, Linear Programming, Quadratic Programming, PSO, etc.
• Experience in data collection, exploratory data analytics, data cleansing, feature selection and model validation.
• Knowledge in NLP and LLMs
• Good Knowledge in Algorithms like Decision Trees, Clustering, Support Vectors, Artificial Neural Networks, LSTM, CNN, YOLO etc. and their real-world advantages and disadvantages
• Knowledge and Experience in using any of the Visualization tools like Matplotlib, Power BI, Tableau, etc.
• Development and deployment of AI/ML based algorithm in any one or more cloud environments such as Azure, AWS, Google
• A drive to learn and master new technologies and techniques
• Agile Way of Working
• Experience in developing project proposals
• Good communication skills to present work to different stakeholders

Good to Have:

• Understanding of DCS and APC systems
• Understanding P&ID Diagrams
• Familiarity of Energy, Resources and Utility Domain
• Experience with distributed data/computing tools: Spark, MySQL, etc.
• Development and deployment of AI/ML based algorithm in any cloud environment such as Azure, AWS, Google
• Experience in analysing data from 3rd party tools.
• Experience working with and creating data architectures.
• Knowledge and Experience in Process Control, Optimization
• Published paper on solved problems using Engineering analytics

Responsibilities:

• Analyze the data acquired from various OT systems, applications and other data sources.
• Developing own script to develop data science solutions
• Identify the right technique to carry out the pre-processing & develop script for data preprocessing
• Identify the parameters of interest using right algorithm
• Identify right feature selection and develop script for feature extraction
• Build, Validate & deploy models in the desired framework
• Based on the problem, carry out exploration of various candidate ML algorithms and select the right fit algorithm
• Continuous Learning of new algorithms and finding the applicable problems where it can be applied
• Jointly publish the papers with customers