About the role

Data Scientist focusing on data solutions impacting e-commerce and fintech sectors. Collaborating with teams to enhance algorithms for user experience and risk understanding.

Responsibilities

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.
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.

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

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.