Lead Data Science Expert

2 days ago

Kolhapur, India beBeeData Full time

**Job Title: Lead Data Science Expert** We are seeking an experienced Lead Data Science Expert to join our team. As a senior data scientist, you will be responsible for 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.You will partner 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.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.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 & Analytics:Build, 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 & Mentoring:Provide 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.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 GatewaySolid 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.Benefits:This is a full-time role that offers a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.Other Information:Please note that we are looking for candidates who are passionate about data science and have a strong desire to learn and grow with our organization.

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