Data Science Professionals

Trendyol Group; Fatih; Hybrid; TRY 900,000 - 1,300,000; Full time

Benefits offered by this job

Hybrid work model

Learning & development

Health & wellness benefits

Global team collaboration

Personal budget for benefits

Job summary

Trendyol Group is seeking a Data Scientist to power core e-commerce features through data-driven modeling, ranking optimization, and personalized recommendations. You will handle large-scale data, build robust ML solutions, and collaborate across product, engineering, and risk teams to drive business impact.

You will work in a hybrid environment focused on experimentation, learning, and growth, with opportunities to contribute to global initiatives and scalable systems across Trendyol Group.

Qualifications

• Experience in applied data science and a wide range of data science algorithms and models.
• Excellent written and verbal communication in English.
• Experience with e-commerce or self-service business models is a plus.

Responsibilities

• Develop models powering seller and user experience, personalization, growth and core e-commerce features.
• Improve discovery infrastructure with scalable, fast ML-powered components.
• Analyze large-scale structured and unstructured data from multiple sources.
• Apply ML-Ops practices to improve model performance and deployment cycles.
• Execute A/B experiments and translate results into actionable insights.
• Collaborate with product, engineering and risk teams to solve business challenges.

Skills

Data analysis

English communication

Problem solving

Tools

Python

SQL

scikit-learn

PyTorch

TensorFlow

Job description

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 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

What We Offer

Build the skills for what’s next: Helping teams build AI capabilities today to stay ready for tomorrow by providing access to AI tools, learning and development programs, and opportunities to learn from peers. But what matters most is the culture: one where curiosity is encouraged, experimentation is embraced, mistakes become learning opportunities, and leaders empower teams to explore, challenge, and grow.

- Hybrid working model with flexibility: a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.

- Customisable FlexBenefits budget: Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.

- Well-being support: Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.

- Personalised training allowance and learning opportunities: Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.

- Responsibility from day one: Take full ownership from the start in a culture where every voice is heard and valued.

- A diverse, international team: Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.

- Opportunities to grow with the best: Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.

- Meaningful connections beyond tasks: Be part of team rituals, events, and social activities that help us stay connected and inspired.