Chief Data Scientist

4 days ago


amravati, India beBeeData Full time

Senior Data Science LeaderThis is a senior-level position that requires deep experience in the AWS stack.About the RoleWe are seeking an experienced data science leader to lead end-to-end development of data science and ML solutions, partner with product, engineering, and business stakeholders, and deliver measurable impact using machine learning, experimentation, and advanced analytics on top of AWS data and ML services.The ideal candidate will have 7+ years of hands-on experience in data science or applied machine learning roles, strong proficiency in Python and ML/data libraries, and demonstrated experience building and deploying ML solutions on AWS.ResponsibilitiesProblem Definition & Stakeholder CollaborationWork with business, product, and engineering teams to translate ambiguous problems into clear data science use cases and success metrics.Define hypotheses, experimentation strategies, and measurable outcomes for ML and analytics initiatives.Data & Feature Engineering (AWS-native)Design and build robust data pipelines using AWS services such as S3, Glue, Athena, Redshift, EMR, Lambda, Step Functions.Develop scalable feature stores and reusable data assets for multiple ML use cases.Ensure data quality, observability, and governance in collaboration with data engineering teams.Modeling & AnalyticsBuild, train, and optimize models for use cases such as prediction, recommendation, forecasting, personalization, segmentation, anomaly detection, etc.Use Python and standard ML libraries (e.g., scikit-learn, XGBoost, PyTorch/TensorFlow) for experimentation and prototyping.Design and run A/B tests, holdout experiments, and causal analyses to measure impact.MLOps & Deployment (AWS SageMaker)Productionize models using Amazon SageMaker (training, tuning, endpoints, pipelines, model registry).Implement CI/CD for ML, monitoring and alerting for model drift, data drift, and performance degradation.Optimize cost and performance of deployed models and pipelines.Leadership & MentoringProvide technical leadership on projects, setting standards for experimentation, documentation, and code quality.Mentor junior data scientists and analysts; contribute to best practices, templates, and internal tooling.Advocate for data-driven decision-making across the organization.What We OfferA competitive compensation package and opportunities for professional growth and development.


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