
Data Scientist Position
2 days ago
About iyzico
iyzico is a pioneer in online payment services and AI-based payment technologies, serving businesses of various sizes in the e-commerce world. By simplifying complex payment processes through its user-friendly platform, iyzico has achieved significant success by supporting thousands of businesses in digitalization and was acquired by PayU in 2019.
The company operates on the principle of democratizing financial services and making them accessible to everyone, along with providing services to businesses. Our Mission
- We simplify online shopping for consumers and sellers through simple, accessible, and innovative technologies.
- Through iyzico Buyer Protection, we resolve consumers' concerns regarding shopping online and provide better experiences.
- We empower consumers with 24/7 live support through our mobile app and convenient cancellation/returns processes.
Job Description
As a Senior Data Scientist at iyzico, you will be responsible for building products that leverage AI, ML, and advanced statistical techniques from basic financial analysis to complex machine learning models. You will come up with new ideas on anomaly detection, conversion optimization, and business insights through data. You will also design, analyze, and interpret the results of experiments, find hidden patterns and relationships in data to answer business concerns, perform statistical analysis, and/or data mining techniques.
Required Skills and Qualifications
- Bachelor's degree in computer science, information technology, industrial engineering, mathematics, or statistics.
- Minimum 5 years of experience in related responsibilities like data science or machine learning engineering.
- Strong analytical thinking and approach; hands-on experience with scientific computing languages and frameworks such as Python (e.g., scikit-learn, TensorFlow, PyTorch, Flask).
- Eager to research and apply new models and can take initiative.
- SQL knowledge is a must.
- Multi-disciplinary and cooperative ability to solve problems in diverse domains including finance, marketing, sales, product development, and user experience.
- Knowledge of developing workflows to deploy machine learning models and find new solutions to improve processes.
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