Data Scientist (7–10 Years Experience)

About The RoleGlobalwave Softech Pvt Ltd is seeking an experienced Data Scientist to design and implement advanced AI/ML models and analytics solutions that drive business insights, automation, and strategic decision-making across functions.In this role, you will own the end-to-end model lifecycle — from business problem scoping to deployment, monitoring, and value realization. You will also help establish reusable AI assets, model governance frameworks, and best practices across the organization.This position requires strong technical expertise combined with business acumen and stakeholder collaboration skills.Key ResponsibilitiesTranslate complex business problems into structured data science solutionsPerform data preparation, exploratory data analysis (EDA), feature engineering, and hypothesis testingBuild, validate, and deploy predictive, classification, clustering, and optimization modelsIntegrate ML models into enterprise systems using APIs and CI/CD pipelinesMonitor model performance, detect drift, and manage retraining cyclesDeliver actionable insights and quantify measurable business impactCollaborate with Business, Data Engineering, DevOps, and AI/ML teamsMentor junior analysts and contribute to AI/ML best practices and knowledge sharingSupport model governance, documentation, and reproducibility standardsTechnical Skills RequiredStrong proficiency in Python (preferred), R, and SQLSolid foundation in Statistics and Machine Learning algorithmsExperience with Spark, DatabricksHands-on exposure to MLflow, Azure ML, AWS SageMakerExperience integrating models using APIs and CI/CD pipelinesFamiliarity with Power BI / Tableau for data visualizationVersion control using GitExperience working on cloud platforms (Azure preferred)Good to HaveExposure to NLP, Time Series Forecasting, LLMs, or Generative AIExperience building scalable production-grade ML systemsUnderstanding of MLOps and model governance frameworksQualifications🎓 Bachelor’s or Master’s degree in Engineering, Statistics, Applied Mathematics, Data Science, or a related quantitative field