Data Scientist

About the RoleWe’re looking for a Data Scientist with strong applied AI expertise to build, deploy, and scaledata-driven solutions for logistics, and intelligent decision systems. You’ll work with large-scale supply chain data to develop predictive and generative AI models that enhanceoperational efficiency and business outcomes.What this role entail- Design and implement machine learning, deep learning, and AI-driven optimization models for logistics and operations. - Build scalable and robust data preprocessing pipelines and reproducible modelling pipelines. - Conduct A/B testing, model monitoring, and performance tuning to ensure reliability. - Experiment with new models and techniques. - Test performance of data-driven products.What lands you in this role- 1-4 Years of experience in Data Science Model development and deployment - Strong forecasting experience - Must have exposure to developing predictive analytics and machine learning for business applications - Exposure to ML/GenAI frameworks and tools, Apply computer vision or NLP for automation - Use LLMs and GenAI for knowledge extraction, intelligent decision support - Extensive experience with Git, DockerTechnical SkillsProgramming: Python, SQL, PySparkML/AI Frameworks: Scikit-learn, PyTorch, TensorFlow, XGBoost, LightGBMData Engineering: Redshift, Kafka, AWS S3, SnowflakeModel Serving: FastAPI, Triton, Ray Serve, DockerVisualization: Power BI, Plotly, TableauBonus: LLMs (LangChain, Transformers), Reinforcement Learning, or GNNQualifications- B.Tech / M.Tech / M.Sc. in Computer Science, Data Science, Statistics, or related field. - Proven experience deploying ML/AI models in production. - Strong problem-solving and analytical skills with an understanding of SCM.Nice to Have: Experience with Agentic AI systems, multi-modal AI (vision + text), or real-timeML.

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