Data Scientist

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 Türkiye, 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.

We’re currently looking for a 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
• 1+ years of hands-on experience in Machine Learning, Data Mining, Data Science, or Advanced Analytics
• Good understanding of Machine Learning algorithms such as regression, classification, clustering, and tree-based models
• Hands-on experience with data preprocessing, feature engineering, model training, and model evaluation
• Proficiency in Python and commonly used data science libraries such as Pandas, NumPy, and Scikit-learn
• Good knowledge of SQL and relational databases
• Familiarity with data visualization tools such as Power BI, Tableau, or equivalent
• Good understanding of statistical analysis and analytical problem-solving
• Strong analytical thinking, problem-solving, and communication skills

The key duties of the successful candidate are;

• Develop and validate machine learning, data mining, and advanced analytics models to solve business problems
• Perform exploratory data analysis (EDA) and generate actionable insights from large datasets
• Perform data preprocessing, feature engineering, model training, and model evaluation
• Develop predictive, classification, clustering, and segmentation models
• Write efficient SQL queries to extract, transform, and analyze data from enterprise data sources
• Develop Python-based analytical solutions and automation workflows
• Monitor model performance and contribute to model improvement activities
• Work with senior team members and business stakeholders to translate business needs into analytical solutions
• Prepare analytical outputs, reports, and visualizations for technical and non-technical stakeholders
• Document analytical methodologies, assumptions, and model results
• Contribute to Advanced Analytics and Data Science projects and initiatives
• 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