About the Company:Everest DX – We are a Digital Platform Services company, headquartered in Stamford. Our Platform/Solution includes Orchestration, Intelligent operations with BOTs’, AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies. Digital Transformation Services - Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application and migrate existing applications into secure, multi-cloud environments to support digital transformation. Our DigitalPlatform Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speeding digital transformation. Digital Platform - Cloud Intelligent Management (CiM) - An Autonomous Hybrid Cloud Management Platform that works across multi-cloud environments. helps enterprise Digital Transformation get most out of the cloud strategy while reducing Cost, Risk and Speed. To know more please visit: http://www.everestdx.com Job Title: Data Scientist Experience: 2+ Years Employment Type: Full-Time Location: Hyderabad-Onsite About the RoleWe are looking for a hands-on Data Scientist with strong ML and MLOps skills to deliver production-grade analytics solutions in a fast-paced, agile environment. You will work across the full ML lifecycle — from data exploration to model deployment — with a focus on supply chain and commercial analytics.Key ResponsibilitiesBuild, deploy, and maintain ML models end-to-end using Azure Databricks and Azure PipelinesWrite production-quality code in Python/PySpark; contribute actively to team repositoriesDesign and scale data pipelines (batch and real-time) using big data technologiesCollaborate with data and ML engineers on model industrialization and deployment automationTranslate business problems into modelling solutions and communicate insights to stakeholdersResearch and apply latest ML/AI methodologies; create reusable libraries and documentationMust-Have SkillsPython / PySpark / SQL — strong hands-on proficiencySupervised & unsupervised ML — regression, classification, clusteringApplied statistics — distributions, hypothesis testing, regressionGit, CI/CD workflows, version control best practicesAzure cloud — Databricks and ADF experienceMLOps — MLflow, Kubeflow or equivalentGood to HaveTime Series / Demand ForecastingNLP, Bayesian methods, Causal Inference, Reinforcement LearningDocker, Jenkins, Spark/HiveResponsible AI, Distributed MLSupply chain or retail domain experienceQualificationsB.E. / B.Tech in Computer Science, Mathematics or related field2–4 years as a Data Scientist in a production environmentExperience in supply chain or commercial analytics preferredAgile team delivery experience