Work at the intersection of finance, data, and machine learning; developing models that power credit decisions, risk analysis, personalization, fraud detection, and other core Fintech features.
Analyze large-scale structured and unstructured data from multiple sources.
Apply best practices for working with ML-Ops infrastructure, improve models and infrastructure to optimize model performance.
Execute A/B experiments, reach conclusions statistically and build upon learnings continuously.
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.
While the role focuses on data science, we value a hands-on mindset across analytics, reporting, and data-driven decision making.
Requirements
Experience in applied data science and a wide range of data science stack of algorithms and models. Knowledge about fintech domain 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.
The experience range for this position is suitable for specialist/senior specialist roles.
Benefits
A 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.
A customizable 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.
Comprehensive wellbeing support — Take advantage of our extended health package, which includes annual mini health screenings, access to location-based in-house doctors, psychologist and dietitian support, and HPV vaccination coverage.
Personalized 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencemachine learningA/B testingPythonSQLscikit-learnPytorchTensorFlowML-Opsdata analysis
Soft skills
analytical skillscommunication skillscollaborationproblem-solvingdata-driven decision making