Required Skills9+ years of experience in a data scientist, ML engineer, or advanced analytics roleStrong foundation in statistics — hypothesis testing, regression, time series analysis, Bayesian methodsAdvanced SQL — comfortable writing complex queries across large, multi-source datasets.Proficiency in Python or R for analysis, modeling, and automationExperience with ML/statistical libraries (scikit-learn, statsmodels, pandas, NumPy, or similar)Experience with AWS data and ML services (SageMaker, Redshift, Athena, Glue,QuickSight, or similar)Hands-on experience with TableauDemonstrated ability to define metrics frameworks and build dashboards from scratch, not just maintain existing onesExperience building anomaly detection or predictive models in a production or operational contextKey Responsibilities:





Define and build the metrics framework for the digital ordering pipeline — from order intake through result deliveryDesign and deliver dashboards that track order volume, throughput, turnaround times, error rates, and system stability across multiple integration pointsBuild predictive models to forecast order failures, volume trends, and capacity needsDevelop automated anomaly detection to surface pipeline issues before they escalateApply statistical methods for root cause analysis — diagnosing why systems fail, not just what failedPartner with engineering teams to instrument data collection where gaps existTranslate complex technical and statistical findings into transparent narratives for executive leadership, engineering management, and individual engineering teams

📌 Software Architect_Data Scientist (Mumbai)
🏢 Bebo Technologies
📍 Mumbai