We are looking for a Senior Data Scientist to lead the design, development, and deployment of advanced AI, machine learning, and optimization solutions across Bosta's operations and commercial functions.

You will work on high-impact initiatives ranging from agentic AI systems and NLP applications to forecasting, optimization, routing, and decision-support systems. You will partner closely with engineering, product, operations, and business stakeholders to identify opportunities, define technical solutions, and drive projects from concept to production.

This role requires strong technical depth, business acumen, and the ability to independently lead complex data science initiatives while mentoring junior team members.

Job Description:

• Lead the design, development, and deployment of machine learning, AI, and optimization solutions that drive measurable business impact

  
  

• Architect and build agentic AI systems, LLM-powered applications, and NLP solutions for internal and customer-facing products

  
  

• Develop predictive models for forecasting, classification, anomaly detection, recommendation systems, and operational planning

  
  

• Design and implement optimization models and heuristics for routing, capacity planning, resource allocation, and logistics operations

  
  

• Define experimentation frameworks, evaluation methodologies, and model monitoring strategies

  
  

• Drive the full lifecycle of data science projects from problem formulation through production deployment and continuous improvement

  
  

• Collaborate with engineering teams to build scalable ML systems and production-grade AI services

  
  

• Partner with business stakeholders to translate ambiguous problems into analytical and technical solutions

  
  

• Mentor and provide technical guidance to junior data scientists and analysts

  
  

• Stay current with advancements in AI, LLMs, optimization, and machine learning, evaluating opportunities to apply them within Bosta

  
  
  

Job Requirements:

5+ years of experience in Data Science, Machine Learning, Applied AI, or related fields

Strong foundation in statistics, machine learning, and data science methodologies

Proven experience building and deploying production machine learning systems

Strong expertise in Python and common ML frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar

Experience designing and implementing NLP solutions and working with modern language models

Hands-on experience with LLM applications, agentic workflows, RAG systems, tool-calling frameworks, and prompt engineering

Strong knowledge of software engineering best practices, APIs, testing, version control, and system design

Experience working with cloud platforms and scalable data infrastructure

Ability to independently lead projects and communicate effectively with technical and non-technical stakeholders

Experience with Operations Research, mathematical optimization, routing, scheduling, or simulation models

Experience deploying and operating AI systems in production environments

Familiarity with MLOps practices, CI/CD pipelines, Docker, Kubernetes, and model monitoring

Experience with vector databases, knowledge retrieval systems, and AI orchestration frameworks

Experience mentoring junior team members or leading technical initiatives

Exposure to logistics, supply chain, marketplaces, or large-scale operational environments

Experience with geospatial analytics and routing optimization

Experience with forecasting and demand planning models

Familiarity with Arabic and multilingual NLP

Contributions to open-source projects, technical publications, or research initiatives

Why Join Bosta?

• Solve complex real-world problems at a massive operational scale

  
  

• Build AI systems that directly influence business decisions and customer experience

  
  

• Own end-to-end solutions from ideation to production

  
  

• Work with a highly collaborative team across data, engineering, product, and operations

  
  

• Shape the future of AI and optimization within one of the region's leading logistics technology companies