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