Data Scientist (Executive/Specialist)

Abdi İbrahim, founded in 1912, has the largest product portfolio in the sector and is the largest employer in the Turkish pharmaceutical industry with 5.500 employees. Abdi İbrahim has been the leader of Turkey’s pharmaceutical industry since 2002 with its powerful vision. Today, Abdi İbrahim operates in 17 countries outside Turkey, exports to more than 70 countries ranging from Canada to European Union member states, from North Africa to Asia. As a corporate citizen working towards creating a better world and a better future, adhering to its mission in the sector and to the requirements of societal priorities, Abdi İbrahim focuses on sustainability in all its business processes. Its vision for 2025 - apart from maintaining its status as a wholly local company - is to become "one of the top 100 pharmaceutical companies in the world.

Abdi İbrahim Pharmaceuticals - Data Scientist

The requirements for the successful candidate are;

• BSc or MSc degree in a quantitative field such as Computer Engineering, Industrial Engineering, Mathematics, Statistics or related disciplines
• At least 1 years of hands-on experience in Machine Learning, Data Mining, or Advanced Analytics for specialist
• At least 5 years of hands-on experience in Machine Learning, Data Mining, or Advanced Analytics for executive
• Strong theoretical and practical knowledge of Machine Learning algorithms (regression, classification, clustering, tree-based models, neural networks, etc.)
• Proven experience with data preprocessing, feature engineering, model training, model evaluation and optimization
• Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch is a plus)
• Solid experience with SQL and relational databases
• Familiarity with data visualization tools such as Power BI, Tableau, or equivalent
• Strong knowledge of statistical analysis and experimental design.

Nice to have

• Experience with time series forecasting, recommender systems, NLP or computer vision
• Experience with MLOps, model deployment and automation
• Experience in cloud environments (Azure, AWS, GCP)
• Knowledge of pharmaceutical industry

The key duties of the successful candidate are:

• Develop, validate, and deploy machine learning and data mining models to solve real business problems
• Perform exploratory data analysis (EDA) and create advanced analytical insights from large datasets
• Design and implement feature engineering pipelines and model optimization strategies
• Work closely with business teams to translate business problems into analytical solutions
• Build predictive, classification and segmentation models
• Monitor model performance and continuously improve model accuracy
• Write efficient SQL queries to extract and prepare data from enterprise data sources
• Develop scalable analytics solutions using Python-based data science frameworks
• Document methodologies and communicate results clearly to both technical and non-technical stakeholders
• Contribute to the development of advanced analytics roadmap

Applicants with suitable qualifications are kindly invited to apply through LinkedIn. All applications will be acknowledged and treated confidentially.