Chief Analytics Officer

6 days ago


belgaum, India beBeeDataScientist Full time

Job Title: Senior Data ScientistWe are seeking a highly skilled and experienced Senior Data Scientist to lead the development of data science and ML solutions.This role requires a strong understanding of machine learning, experimentation, and advanced analytics on top of AWS data and ML services.Key Responsibilities:Define hypotheses, experimentation strategies, and measurable outcomes for ML and analytics initiatives.Design and build robust data pipelines using AWS services such as S3, Glue, Athena, Redshift, EMR, Lambda, Step Functions.Build, train, and optimize models for use cases such as prediction, recommendation, forecasting, personalization, segmentation, anomaly detection, etc.Required Skills and Qualifications:7+ years of hands-on experience in data science or applied machine learning roles.Strong proficiency in Python and ML/data libraries (pandas, numpy, scikit-learn, XGBoost, PyTorch/TensorFlow).Demonstrated 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 GatewayBenefits:Opportunity to work with cutting-edge technologies and projects.Collaborative and dynamic work environment.Professional growth and development opportunities.Preferred Qualifications:Experience with streaming data / real-time ML using Kinesis, Kafka/MSK, or similar.Familiarity with MLOps best practices (Git-based workflows, CI/CD, model versioning, monitoring).AWS certifications such as AWS Certified Machine Learning – Specialty or AWS Data Analytics – Specialty.



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