Essential Qualifications & Skills
- Collect and analyze large and complex datasets from various sources.
- Create reports and visual dashboards to support decision-making.
- Design and apply machine learning models to optimize processes and predict future trends.
- Continuously evaluate and improve model performance.
- Collaborate with IT teams to ensure efficient organization and storage of data.
- Implement data cleaning and transformation (ETL) processes to prepare data for analysis.
- Work with diata, sales, and management teams to understand their requirements and integrate data-driven solutions.
- Stay updated with the latest technologies and trends in data science to provide innovative solutions.
Requirements:
- Bachelor's or master's degree in data science, Statistics, Mathematics, Computer Science, or a related field.
- At least 5 years of practical experience in data science or data analysis.
- Programming Languages: Proficiency in Python and/or R.
- Data Analysis: Experience with libraries such as Pandas and NumPy.
- Databases: Strong knowledge of SQL and experience with relational databases.
- Visualization Tools: Experience with tools like Tableau, Power BI, or Matplotlib.
