Senior Data Scientist

beBeeMachineLearning

Bharatpur • Not disclosed

2 days ago

Hybrid

About the job

Senior Data Scientist – AWS Opportunity About the Role We are seeking a seasoned Senior Data Scientist with profound experience on the AWS stack to spearhead end-to-end development of data science and ML solutions—from problem framing and data architecture design to model deployment and monitoring in production. You will collaborate closely with product, engineering, and business stakeholders to drive measurable impact using machine learning, experimentation, and advanced analytics atop AWS data and ML services. Key Responsibilities * Problem Definition & Stakeholder Collaboration * Data & Feature Engineering (AWS-native) * Modeling & Analytics * MLOps & Deployment (AWS SageMaker) * Leadership & Mentoring 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 Formation ML: SageMaker (training jobs, endpoints, pipelines, model registry) Orchestration/Integration: Lambda, Step Functions, EventBridge, API Gateway Solid understanding of statistics, experimental design, and causal inference (A/B testing, hypothesis testing, confidence intervals, etc.). Proven track record of delivering ML solutions into production with measurable business impact. Strong SQL skills and comfort working with large-scale datasets in data lake / data warehouse environments. Excellent communication skills—able to explain complex topics to both technical and non-technical stakeholders.