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Home›Jobs›Trendyol›Data Science Professionals (Supply Chain & Logistic)
Trendyol

About Trendyol

Turkey's leading e-commerce platform for all needs

🏢 Tech👥 1K-5K📅 Founded 2010📍 İstanbul, Turkey

Key Highlights

  • Over 300,000 sellers on the platform
  • Raised $1B+ in funding with a $16B+ valuation
  • Headquartered in Istanbul, Turkey
  • Employs 4,000+ people, including couriers and service providers

Trendyol, headquartered in Istanbul, Turkey, is a leading e-commerce platform that connects millions of customers with over 300,000 sellers. As part of Trendyol Group, the company has raised over $1 billion in funding, with a valuation exceeding $16 billion. Trendyol serves a diverse customer base a...

🎁 Benefits

Trendyol offers competitive salaries, equity options, generous PTO policies, and a flexible remote work policy to support work-life balance....

🌟 Culture

Trendyol fosters a data-driven culture focused on innovation and customer satisfaction, encouraging teams to experiment and adapt quickly to market ne...

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Trendyol

Data Science Professionals (Supply Chain & Logistic)

Trendyol • Istanbul / Maslak

Posted 4 years ago🏛️ On-SiteMid-LevelData scientist📍 Istanbul
Apply Now →

Skills & Technologies

Machine learningOptimizationData analysis

Overview

Trendyol is seeking a Data Scientist to empower their supply chain and logistics domains. You'll leverage machine learning and optimization to refine inventory management and streamline fulfillment processes. This role is based in Istanbul and requires expertise in data analysis.

Job Description

About the Team
At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.
We solve complex problems with data, creativity, and agility — always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what’s next.

About the Role
Our primary focus is to empower our supply chain and logistics domains. As a Data Scientist, you will be instrumental in driving data-informed decisions; leveraging machine learning and optimization to refine inventory management, streamline fulfillment processes, and provide customers with precise delivery predictions.

Interested in this role?

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