Data Scientist

Job Information

• Date Opened 01/19/2026
• Job Type Full time
• Industry Technology
• City Cairo
• State/Province AI Jizah
• Country Egypt
• Zip/Postal Code 11311

About Us

Garment IO utilizes AI and IoT to seamlessly collect and analyze live data from the production floor, empowering decision-makers with actionable insights. Garment IO helps you boost productivity, quality and workers' morale while reducing costs.

Experience the future of garment manufacturing with Garment IO and revolutionize your operations with AI-powered decision-making. Maximize productivity, efficiency, and savings up to 20% with Garment IO.

Job Description

We are hiring a Data Scientist who will focus on delivering high-impact product initiatives while strengthening our core platform .This role offers hands-on exposure to real production challenges and the opportunity to directly impact long-term growth, reliability, and innovation.

• Design and implement optimization and ML models to solve business problems
• Train, evaluate, and continuously improve models using production feedback
• Deploy models as scalable services or pipelines
• Collaborate with backend teams to integrate models into core systems
• Ensure solutions are robust, explainable, and maintainable
• Define and monitor model performance and business impact metrics

Requirements

• 3+ years of hands-on experience in data science, applied machine learning, or optimization
• Strong background in mathematical modeling, optimization, or operations research
• Experience with linear, integer, and mixed-integer programming
• Knowledge of constraint-based optimization and heuristics/meta heuristics
• Proven experience training, validating, and tuning models
• Proficient in Python for data science and modeling
• Hands-on experience with libraries such as NumPy, Pandas, SciPy, and OR tools (Pyomo, OR-Tools, PuLP, Gurobi, CPLEX)
• Familiarity with ML frameworks (scikit-learn, PyTorch, TensorFlow)
• Ability to translate business problems into mathematical or statistical models
• Experience deploying models to production (APIs, batch jobs, pipelines)

Benefits

• Social insurance
• Medical insurance
• Transportation allowance
• Hybrid Work Environment