Data Scientist
2 days ago
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.
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