Data Scientist - Istanbul

Sadece kayıtlı üyeler için Istanbul, Türkiye

3 gün önce

₺450.000 - ₺900.000 (TRY) yıllık *

* Bu maaş aralığı beBee tarafından tahmin edilmiştir

Data Scientist – AI & Data Science Team (TEB Arf, İstanbul – BÜDOTEK Teknopark) · Join TEB Arf's innovative AI & Data Science Team and help us redefine the future of banking We're a dynamic group pushing the boundaries of artificial intelligence to develop cutting-edge solutions ...

İş tanımı

Data Scientist – AI & Data Science Team (TEB Arf, İstanbul – BÜDOTEK Teknopark)

Join TEB Arf's innovative AI & Data Science Team and help us redefine the future of banking We're a dynamic group pushing the boundaries of artificial intelligence to develop cutting-edge solutions that deliver real impact.

As a Data Scientist, you'll own the entire lifecycle of AI/ML solutions – from development and deployment to monitoring and continuous improvement – collaborating closely with business stakeholders to solve complex challenges.

Key Responsibilities:

Data Engineering & Preparation:
Extract, clean, transform, and validate data from diverse sources to create high-quality datasets for model development. Design and maintain scalable data pipelines using SQL and Python.

Model Development & Evaluation:

Select, build, train, and rigorously evaluate machine learning models (regression, classification, clustering, time series) using libraries such as Scikit-learn, XGBoost, and TensorFlow/PyTorch.

Employ techniques like cross-validation to ensure robust and generalizable results. Design and maintain scalable model development pipelines using Python and software development practices.

Business Translation & Impact:
Collaborate with stakeholders to understand business needs and translate them into actionable analytical solutions. Design and execute experiments (A/B testing) to validate hypotheses and measure the impact of your work.

Deployment & Monitoring:

Work with SDLC teams to deploy models into production, continuously monitor performance, and proactively address issues (model drift, data quality).

Communication & Documentation:
Clearly communicate complex technical concepts to both technical and non-technical audiences. Maintain thorough documentation of all analytical processes and results.

Qualifications:
Bachelor's degree in computer engineering, electrical and electronics engineering, industrial engineering, statistics, or mathematics.
5+ years of experience, with at least 3 years in a dedicated data scientist role.
Expert proficiency in SQL and Python.
Strong understanding of machine learning/deep learning concepts, algorithms, and a practical ability to apply them.
Hands-on experience developing and deploying ML/DL models and applications.
Solid understanding of MLOps principles.
Familiarity with CI/CD platforms and containerization (Docker, Kubernetes).
Excellent English communication skills (verbal and written).

Bonus Points:
Experience with Java or C++.
Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures.
Master's or PhD in a related field.
Experience in the banking or financial services industry

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