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Data Science Leader

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Job Opportunity: Lead Data ScientistWe seek an accomplished Lead Data Scientist to spearhead the development of data science and ML solutions on AWS. This role involves leading end-to-end development, from problem framing and data architecture design to model deployment and monitoring in production.You will collaborate closely with cross-functional teams to deliver impactful outcomes using machine learning, experimentation, and advanced analytics on top of AWS data and ML services.Promote collaboration among business, product, and engineering stakeholders to distill ambiguous problems into clear data science use cases and measurable success metrics.Develop hypotheses, experiment strategies, and measurable outcomes for ML and analytics initiatives.The ideal candidate will have hands-on experience building and deploying ML solutions on AWS, including:Data: S3, Glue, Athena, Redshift, EMR / AWS Lake FormationML: SageMaker (training jobs, endpoints, pipelines, model registry)Orchestration/Integration: Lambda, Step Functions, EventBridge, API GatewayProficiency in SQL and comfort working with large-scale datasets in data lake / data warehouse environments are also essential.Required Skills:Demonstrated expertise in data science and machine learning conceptsProven experience with cloud-based technologies, specifically AWSFamiliarity with big data processing frameworks and toolsThis is an exciting opportunity to be part of a dynamic team shaping the future of data-driven decision making.Key Qualifications:Advanced degree in Computer Science, Mathematics, or related fieldAt least 5 years of experience in data science and machine learningHands-on experience with AWS data and ML services