Leader of Advanced Analytics Solutions

18 hours ago


bhavnagar, India beBeeDataScientist Full time

Job DescriptionThe role of Senior Data Scientist involves leading end-to-end development of data science and ML solutions from problem framing and data architecture design to model deployment and monitoring in production.Key Responsibilities:Problem Definition & Stakeholder Collaboration: work with business, product, and engineering teams to translate ambiguous problems into clear data science use cases and success metrics.Data & Feature Engineering (AWS-native): design and build robust data pipelines using AWS services such as S3, Glue, Athena, Redshift, EMR, Lambda, Step Functions.Modeling & Analytics: build, train, and optimize models for use cases such as prediction, recommendation, forecasting, personalization, segmentation, anomaly detection, etc.MLOps & Deployment (AWS SageMaker): productionize models using Amazon SageMaker (training, tuning, endpoints, pipelines, model registry).RequirementsStrong proficiency in Python and ML/data libraries.Demonstrated experience building and deploying ML solutions on AWS, including Data, ML, Orchestration/Integration, and a solid understanding of statistics, experimental design, and causal inference.BenefitsThis role offers the opportunity to work closely with product, engineering, and business stakeholders to deliver measurable impact using machine learning, experimentation, and advanced analytics on top of AWS data and ML services.What We OfferA dynamic and collaborative environment that fosters growth, innovation, and continuous learning.



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