Data Scientist

We are seeking a Data Scientist with strong expertise in Python, SQL, and Machine Learning, and a working background in Generative AI, Retrieval-Augmented Generation (RAG), and Multi-Agent Frameworks. The ideal candidate will work on developing predictive and generative AI models that enhance cargo pricing, forecasting, routing optimization, and intelligent automation across the airline logistics ecosystem.

• Build, train, and deploy machine learning and deep learning models for forecasting, optimization, and decision support.
• Design and implement Generative AI applications such as chatbots, knowledge assistants, and intelligent document retrieval systems using RAG pipelines.
• Develop and orchestrate multi-agent systems for automating complex cargo processes (pricing, scheduling, customer insights, etc.).
• Leverage statistical modeling and data miningto uncover actionable insights from large-scale cargo, operations, and route datasets.
• Collaborate with cross-functional teams (engineering, product, and domain experts) to translate business challenges into AI-driven solutions.
• Perform data cleaning, feature engineering, and pipeline automation for model deployment and monitoring.
• Continuously explore new LLM, agentic AI, and MLOpstools for faster experimentation and production scaling.

• Bachelor’s or Master’s from degree in Computer Science, Data Science, Statistics, or related field.
• 3+ years of professional experience in data science or applied machine learning.
• Strong proficiency in Python (Num Py, pandas, scikit-learn, PyTorch/Tensor Flow).
• Solid command of SQL for querying and managing large datasets.
• Strong foundation in Statistics, Probability, and Linear Algebra.
• Hands-on experience with NLP frameworks (spaCy, Hugging Face Transformers, Lang Chain, etc.).
• Practical experience with Generative AI, RAG pipelines, LLM fine-tuning, and AI Agents (e.g., Lang Chain, Llama Index, OpenAI APIs).
• Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, MLflow, FastAPI, etc.) is a plus.
• Excellent problem-solving, analytical thinking, and communication skills.

• Experience in airline, logistics, or transportation data.
• Knowledge of optimization algorithms for pricing, scheduling, and route generation.
• Exposure to data visualization tools (Power BI, Tableau, Plotly).
• Understanding of MLOpstools (MLflow, Kubeflow, Airflow, or Azure ML).