Data Scientist
Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 14, 2026. Abdi İbrahim scores B on the Alion truth index.
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