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 will be on data problems spanning e-commerce, payments and financial services, contributing to intelligent systems that balance growth, personalization, and risk. As a Data Scientist, your primary focus will be building and improving algorithms that support: User and merchant experience, Transactional intelligence, Personalization and discovery, Risk, fraud, and behavioral understanding. You will work closely with product, engineering and business teams to translate complex problems into scalable data science solutions.
Responsibilities
Design, develop, and deploy machine learning models that power personalization, ranking, user behavior modeling, and financial decisioning
Work with large-scale structured and unstructured data, including transactional, behavioral, and textual data from multiple sources
Apply classical ML techniques alongside modern representation learning approaches (embeddings, similarity models, sequence-based models)
Improve model lifecycle using ML-Ops best practices, ensuring models are reliable, scalable, and production-ready
Run A/B experiments, evaluate results statistically, and translate findings into actionable product decisions
Collaborate with product, engineering, risk, and analytics teams to define data-driven solutions
Communicate insights, model behavior, and trade-offs clearly to technical and non-technical stakeholders
Expected Qualifications
Proven experience in applied Data Science, working with a variety of machine learning models and techniques
Strong foundation in classical ML (classification, regression, clustering, ranking, time-based modeling)
Hands-on experience with Python and common ML libraries (e.g. scikit-learn, PyTorch, TensorFlow)
Experience with transformer-based models, embeddings, or representation learning is a strong plus
Solid knowledge of SQL and working with large-scale data
Experience with e-commerce, payments, fintech, or banking domains is highly preferred
Familiarity with transactional data, user behavior data, or risk-related problems is a strong plus
Strong analytical mindset and ability to translate business problems into data science solutions
Excellent written and verbal communication skills in English
The experience range for this position is suitable for specialist/senior specialist roles
What We Offer
- 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.
Take the Next Step
If this role excites you, apply today, we look forward to taking the next step with you.
