Data Scientist

Key Responsibilities• Develop, train, and deploy machine learning and predictive models. • Analyze structured and unstructured datasets to generate insights. • Build recommendation systems, forecasting models, and classification algorithms. • Perform data cleaning, preprocessing, and feature engineering. • Design experiments and evaluate model performance. • Collaborate with Data Engineers and Business Analysts on data solutions. • Create dashboards, reports, and visualizations for stakeholders. • Optimize algorithms and improve model accuracy. • Work with cloud and big data platforms for scalable analytics. • Present findings and recommendations to business teams. • Maintain proper documentation for models and analytics processes. • Stay updated with emerging AI/ML technologies and industry trends. Required Skills & ExperienceMandatory Skills• 6–7 years of experience in Data Science or Machine Learning roles. • Strong programming skills in:PythonRSQL • Experience with machine learning frameworks:Scikit-learnTensorFlowPyTorch • Strong understanding of:StatisticsProbabilityPredictive analyticsData modeling • Experience with data visualization tools:Power BITableauMatplotlib • Experience handling large datasets and big data environments. • Strong knowledge of data preprocessing and feature engineering. • Familiarity with cloud platforms:AWSAzureGCP Preferred Skills• Experience with NLP, Deep Learning, or Generative AI. • Knowledge of MLOps and model deployment pipelines. • Experience with Spark, Hadoop, or Databricks. • Familiarity with Docker and Kubernetes. • Experience with real-time analytics and streaming data. Educational Qualification• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field. • Relevant certifications in AI/ML or Cloud technologies are preferred.