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

Job Description

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