Data Science and Machine Learning Associate

We are looking for a Data Science & Machine Learning Senior Associate with 3–5 years of relevant experience in data science, machine learning, and analytics. The candidate will be responsible for developing predictive models, analyzing complex datasets, building scalable ML solutions, and supporting production-grade data science applications on cloud platforms.Key ResponsibilitiesDevelop and implement machine learning and predictive analytics models.Perform data analysis, statistical modeling, and optimization to solve business problems.Build demand forecasting and predictive models using time-series and other advanced techniques.Work with large datasets using Python, SQL, PySpark, and cloud-based data platforms.Develop and maintain scalable data pipelines for ML model development and deployment.Implement MLOps practices including model deployment, monitoring, retraining, and data-drift detection.Collaborate with software engineers, product teams, and business stakeholders to convert business requirements into analytical solutions.Validate models for accuracy, robustness, bias, and production readiness.Create meaningful visualizations and communicate analytical insights to technical and non-technical stakeholders.Required SkillsPythonSQLData Science & Machine LearningPredictive ModelingStatistical AnalysisMachine Learning AlgorithmsOptimization TechniquesGoogle Cloud Platform (GCP)BigQueryDataflowDataprocData FusionCloud SQLAirflowPySparkPostgreSQLTerraformTektonAPIsMLOpsPreferred SkillJavaGood to HaveDemand ForecastingTime-Series AnalysisNeural NetworksEnsemble MethodsSupport Vector Machines (SVM)Regression and Cluster AnalysisML Model TestingBias Detection and Data Drift MonitoringProduction ML DeploymentQlikSenseAutomotive or Supply Chain AnalyticsEducationBachelor's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related technical field.Master's degree in a relevant quantitative or technical field is preferred.