Data Scientist - Generative AI & Machine Learning

About the role

Boyner Büyük Mağazacılık is looking for a Data Scientist to join its Data Science team and improve business operations and customer experience through advanced analytics, machine learning and generative AI. The role covers end-to-end data science and AI initiatives, from experimentation and modelling to production deployment, working with business units, product stakeholders and engineering teams.

Key responsibilities

• Take data science and AI projects from initial experimentation or PoC to production deployment
• Analyse data and build, validate and deploy machine learning, deep learning and LLM models, and automate workflows
• Build AI agents, copilots and RAG-based architectures, integrating AI/ML solutions via APIs and event-driven architectures
• Apply MLOps/LLMOps best practices for model and prompt evaluation, monitoring, versioning and CI/CD pipelines
• Keep up with emerging AI and data technologies and adopt them in current business capabilities

Required profile

• BS or MS in a quantitative discipline such as Computer Science, Statistics, Mathematics, MIS or Industrial Engineering
• At least 4 years of professional experience in Data Science, Machine Learning or AI Engineering
• Strong analytical, problem-solving, planning, decision-making and communication skills
• Fluent spoken and written English

Required skills

• SQL and Python, with object-oriented, production-ready code
• Scikit-Learn, Pandas, NumPy, Matplotlib, PyTorch, TensorFlow and Apache Spark
• Generative AI and LLMs: prompt engineering, embeddings, vector search, RAG, tool/function calling and agent architectures
• Azure AI ecosystem (Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Functions, Azure Machine Learning) and cloud providers AWS and Google Cloud
• REST APIs, SDKs, connectors and event-driven architectures; Git, Docker, CI/CD, Apache Airflow (Kubernetes a plus)
• Microsoft Fabric, Azure Databricks, Synapse Analytics or similar data platforms, and Power Platform (Power Automate, Copilot Studio) are a plus