Data Scientist (Python, ML, SQL)

Description :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 documentationMust-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 equivalentGood 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 experienceQualifications :- B. / B.Tech in Computer Science, Mathematics or related field- 4+years as a Data Scientist in a production environment- Experience in supply chain or commercial analytics preferred- Agile team delivery experience (ref:hirist.tech) Description :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 documentationMust-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 equivalentGood 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 experienceQualifications :- B. / B.Tech in Computer Science, Mathematics or related field- 4+years as a Data Scientist in a production environment- Experience in supply chain or commercial analytics preferred- Agile team delivery experience (ref:hirist.tech)