Data Scientist / Data Analyst
Collect, clean, and transform large volumes of data from various sources.
Develop and apply statistical and machine learning models to predict trends and behaviors.
Perform descriptive, diagnostic, and predictive analyses to support business decisions.
Create interactive and easy-to-understand visualizations to communicate findings to non-technical teams.
Collaborate closely with multidisciplinary teams to identify data-driven improvement opportunities.
Develop automated solutions for real-time data extraction and analysis.
Education: Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, Economics, or related fields.
Minimum of 5–20 years of experience.
Proficiency in English (C1 level); additional languages are a plus.
Programming languages such as Python, R, SQL, etc.
Experience with data analysis tools such as pandas, numpy, scikit-learn (for Data Scientists).
Proficiency in data visualization tools like Tableau, Power BI, or similar.
Knowledge of relational and non-relational databases.
Familiarity with statistical analysis techniques and data modeling.
