Location
Hybrid (Istanbul, Turkey)
Employment
Full-Time
Confirmed on the employer's own hiring board on Nov 8, 2026. First seen by Alion on May 27, 2021. Trendyol scores A on the Alion truth index.
Overview
Company
Impact
Profile match
Trendyol is the largest e-commerce company in Turkey and the country's first technology decacorn. It combines a marketplace with its own fashion brands, rapid grocery delivery, payments and last mile logistics. The company is majority owned by Alibaba Group and has expanded into European and Gulf markets.
Backed by EBRD VC
About the Role
Our primary focus will be on powering our Core E-commerce domain. Building a seamless and personalized shopping experience designed to serve millions of customers. As a Data Scientist, you'll play a critical role in driving data-informed decisions; from optimizing ranking and recommendation algorithms to user behavior modeling and improving the efficiency of the systems
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.
Responsibilities
- Work at the intersection of product, technology, and machine learning; developing models that power seller & user experience, personalization, Growth, and other core E-commerce features
- Enhancing a scalable, fast, and reliable discovery infrastructure designed to support the future of digital commerce. As a Data Scientist, you'll play a critical role in driving data-informed decisions; from user intent modeling and ranking optimization to improving recommendation relevance and system reliability
- Analyze large-scale structured and unstructured data from multiple sources across the Trendyol ecosystem
- Apply best practices for working with ML-Ops infrastructure, improve models and infrastructure to optimize model performance and deployment cycles
- Execute A/B experiments, reach conclusions statistically and build upon learnings continously
- Collaborate with product, engineering, and risk teams to translate business challenges into data science problems.
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
- Synthesize methodology and data into actionable business strategy and communicate findings to engineering and management teams as driving business impact
Expected Qualifications
- Experience in applied data science and a wide range of data science stack of algorithms and models. Knowledge about recommendation systems, search ranking, or personalization is a big plus
- Good knowledge of python or other programming language. Experience in one or more of the libraries such as scikit-learn, Pytorch and TensorFlow is a plus.
- Good knowledge of SQL and familiarity with best practices
- Strong analytical skills with a data driven approach
- Excellent written and verbal communication skills in English
- Experience with e-commerce or self-service business models is a big plus
- The experience range for this position is suitable for specialist/senior specialist roles
- Strong analytical skills with a data driven approach
- Excellent written and verbal communication skills in English
- Experience with e-commerce or self-service business models is a big plus
- The experience range for this position is suitable for specialist/senior specialist roles
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