Data Scientist

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Position: Data Scientist Experience: 3 - 6 yrsEducation Requirements:Masters / B.E from a reputed Indian institutes in the area of Statistics, Machine Learning, AI, Computer Science, etc. is preferred.Job Requirements:Working with stake holders from different business units to identify the business opportunities for leveraging the data to drive business solutions.Must have good knowledge of advanced statistical methods (automotive or manufacturing domain will be an added advantage). Mine and analyze data, applying statistical methods as necessary, discover the hidden patterns and viewing experiences to identify critical data insights.Develop customized ML/AI algorithms for the customers so that they are suited 100% to the requirementsDevelop reusable AI/GenAI/ML/Statistical models that can be scaled to multiple businesses with minimum customization.Translate analytic insights into concrete, actionable recommendations for business or product improvement.Partner closely with product and engineering leaders throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs.Independently handle the products/projects and provide technical directions to the other team members.Develop dashboards using software like PowerBI to share algorithm results to end usersStrong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. Technical SkillsExpertise in cutting edge technologies in applied deep learning, Machine learning and AI in one or more of the following fieldsSupply chain analytics: Inventory Optimization, demand forecasting,Sales Domain : Recommendation systems, Customer Segmentation, Price ElasticityManufacturing analytics : Root cause analysis, scrap reduction, cycle time reduction, warranty analyticsComputer Vision Gen AI : RAG, Agentic RAG, Graph RAG, Chain of Thoughts, Tree of Thoughts, Content Extraction, Content summarization, Chat application, LangChainStrong expertise in PythonWork experience in preparing data which includes preprocessing, feature selection, imputation, cleansing, transformation using PythonWork experience in data exploration techniques, such as, mean-variance, k-means, nearest-neighbor, outlier techniques, and correlate anomalous sequences of events.Proven track record and experience with machine learning algorithms such asMultivariate Regression, classification models, clustering algorithms, support vector machine, decision tree, random forest, neural network etc.DOE, Forecasting, Segmentation, Uncertainty Analysis etc.Work experience in development of API, Web applications using Flask/Django will be an added advantage.Model deployment knowledge in Azure / AWS, etc. will be an advantageDeployment experience with Docker, CI & CD will be an advantage. B.E 3 to 6 years

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