Data Scientist

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 Digital Platform 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 Role We 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 Responsibilities Build, deploy, and maintain ML models end-to-end using Azure Databricks and Azure Pipelines Write production-quality code in Python/PySpark; contribute actively to team repositories Design and scale data pipelines (batch and real-time) using big data technologies Collaborate with data and ML engineers on model industrialization and deployment automation Translate business problems into modelling solutions and communicate insights to stakeholders Research and apply latest ML/AI methodologies; create reusable libraries and documentation Must-Have Skills Python / PySpark / SQL — strong hands-on proficiency Supervised & unsupervised ML — regression, classification, clustering Applied statistics — distributions, hypothesis testing, regression Git, CI/CD workflows, version control best practices Azure cloud — Databricks and ADF experience MLOps — MLflow, Kubeflow or equivalent Good to Have Time Series / Demand Forecasting NLP, Bayesian methods, Causal Inference, Reinforcement Learning Docker, Jenkins, Spark/Hive Responsible AI, Distributed ML Supply chain or retail domain experience Qualifications B.E. / B.Tech in Computer Science, Mathematics or related field 2–4 years as a Data Scientist in a production environment Experience in supply chain or commercial analytics preferred Agile team delivery experience