Senior Data Scientist: Applied AI for Business Impact

Yıldız Tech; Fatih; On-site; TRY 360,000 - 600,000; Full time

Job summary

Yıldız Tech is seeking a Data Scientist/Senior Data Scientist (Applied AI) to develop, evaluate, and deploy data-driven AI solutions across our digital ecosystem. You will work on business problems spanning forecasting, personalization, and customer analytics, translating insights into actionable decisions.

The role emphasizes strong individual contribution with technical depth, pragmatic execution, and a focus on production-ready AI systems within an e-commerce oriented context.

Qualifications

• Bachelor's degree in Statistics, Computer Science, Computer Engineering, Industrial Engineering, or a related quantitative field.
• 3+ years of experience in data science, ML, analytics, or applied AI.
• Strong programming skills in Python with data science libraries and SQL.

Responsibilities

• Develop, test, and deploy ML/AI solutions for business use cases.
• Analyze large datasets to generate actionable insights.
• Prepare, clean, and transform data for modeling.
• Design and evaluate predictive and analytical solutions for forecasting and personalization.
• Create clear visualizations and communicate results to stakeholders.
• Collaborate with cross-functional teams on problem framing and success metrics.
• Contribute to production deployment, monitoring, and improvement of AI solutions.

Skills

Python

SQL

Pandas

NumPy

Scikit-learn

English

Data science

Machine learning

Data preprocessing

Feature engineering

Model evaluation

Education

Bachelor's degree in Statistics, Computer Science, Computer Engineering, Industrial Engineering, or related quantitative field

Tools

Docker

Kubernetes

LangChain

OpenAI APIs

Hugging Face Transformers

Job description

Yıldız Tech is seeking a Data Scientist/Senior Data Scientist (Applied AI) to develop, evaluate, and deploy data-driven AI solutions across our digital ecosystem. You will work on business problems spanning forecasting, personalization, and customer analytics, translating insights into actionable decisions.

The role emphasizes strong individual contribution with technical depth, pragmatic execution, and a focus on production-ready AI systems within an e-commerce oriented context.