Founded in 2018, Marti is Türkiye’s leading mobility app, offering multiple transportation services to its riders. Marti operates a ride-hailing service that matches riders with car, motorcycle, and taxi drivers, and operates a large fleet of rental e-mopeds, e-bikes, and e-scooters. All of Marti’s offerings are serviced by proprietary software systems and IoT infrastructure.

Marti's vision is that everything on wheels will be electric and everything electric will be shareable. Since 2019, we have experienced significant growth and maintained robust unit economics year-round. Our goal is to expand our urban transportation services, introduce new environmentally sustainable and shared mobility options, and leverage our existing scale and customer base to offer technology-enabled services beyond transportation. By pursuing sustainable growth, we strive to positively impact the communities we serve and make a meaningful impact on the future of mobility.

Marti invites applications from dynamic, innovative and highly motivated candidates for the following position;

About the Role:

Marti Technologies is looking for a Senior Data Scientist to design and deploy large-scale predictive and optimization models for a real-time marketplace. You will work on forecasting, pricing, and behavioral modeling to help balance supply, demand, and platform objectives in a high-volume environment.

Responsibilities:

• Build and maintain predictive models to forecast user and supply behavior.
• Develop optimization frameworks to improve marketplace efficiency and platform KPIs.
• Work with cross-functional teams to integrate models into production systems.
• Analyze large-scale datasets to uncover patterns and drive data-driven decisions.
• Continuously monitor and refine model performance in real-time environments.
• Collaborate with engineering teams to design scalable data pipelines and features.

Requirements:

• Strong programming skills: Python (NumPy, Pandas, Scikit-learn) and SQL.
• Machine learning expertise: regression, classification, time series, and optimization techniques.
• Statistical modeling knowledge: hypothesis testing, confidence intervals, A/B testing.
• Experience with large-scale data systems: Spark, distributed data processing, or equivalent.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized environments.
• Understanding of real-time systems and low-latency model deployment.
• Strong foundation in mathematics and probability relevant to predictive modeling.
• Experience integrating models with production APIs or microservices.
• Ability to translate complex models into actionable insights and collaborate with engineering teams.

Preferred Qualifications:

• Experience with optimization algorithms and decision models.
• Familiarity with causal inference or experimental design.
• Knowledge of distributed feature stores and streaming data pipelines.
• Background in high-scale consumer platforms, marketplace dynamics, or pricing systems.