Data Scientist

About the Role

We're looking for a Data Scientist with strong applied AI expertise to build, deploy, and scale

data-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 enhance

operational 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, Docker

Technical Skills

Programming: Python, SQL, PySpark

ML/AI Frameworks: Scikit-learn, PyTorch, TensorFlow, XGBoost, LightGBM

Data Engineering: Redshift, Kafka, AWS S3, Snowflake

Model Serving: FastAPI, Triton, Ray Serve, Docker

Visualization: Power BI, Plotly, Tableau

Bonus: LLMs (LangChain, Transformers), Reinforcement Learning, or GNN

Qualifications

• 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-time

ML.