Associate Data Scientist

Job Responsibilities:

• Build AI-powered systems using NLP, LLMs, and agentic workflows
• Develop NLP solutions for tasks such as text classification, entity extraction, intent detection, summarization, and sentiment analysis
• Design and implement agentic AI systems that reason over conversations, historical data, and business rules
• Apply traditional machine learning techniques for prediction, classification, and optimization
• Use operations research techniques (optimization, heuristics, simulations) to support logistics and operational decision-making
• Collaborate with product, engineering, operations, and commercial teams to translate business problems into data science solutions
• Build end-to-end pipelines: data ingestion, feature engineering, modeling, evaluation, deployment, and monitoring
• Deploy models and AI services to production using cloud platforms and modern MLOps practices
 

Job Qualifications:

• 1–3 years of experience in Data Science, Machine Learning, or applied AI roles
• Strong foundation in data science and statistics
• Solid experience with traditional machine learning (e.g., regression, tree-based models, clustering, time series)
• Strong Python skills and familiarity with common ML/NLP libraries (scikit-learn, spaCy, NLTK, Hugging Face, etc.)
• Understanding of software engineering fundamentals (APIs, version control, testing)
• Hands-on knowledge of NLP:Text preprocessing and feature extractionClassical NLP models and modern embeddingsExperience with tasks like classification, NER, topic modeling, or text similarityExperience working with LLMs for NLP tasks (prompting, fine-tuning or adaptation, chaining, tool usage)

Preferred Qualifications

• ITI Data Science track graduate (or equivalent technical training or post-graduate studies)
• Knowledge of Operations Research (optimization, routing, scheduling, simulations)
• Experience with cloud computing (AWS, GCP, or Azure)
• Familiarity with model deployment and MLOps practices (Docker, CI/CD, monitoring)
• Experience building agentic AI or multi-step NLP systems
• Exposure to Arabic and multilingual NLP is a plus
• Experience with vector databases, retrieval systems, or RAG pipelines
• Familiarity with conversational AI or chat-based systems
• Background in logistics, marketplaces, or large-scale operations
 

Why Join the Data Science Team at Bosta?

• Build high-impact AI, ML and Decision Support systems used daily by operations and commercial teams
• Work on real production use cases, not just experiments
• Grow your skills in AI and Data Science.
• Ownership, autonomy, and collaboration in a fast-growing tech environment