Data Scientist (Saudi National)

We are seeking a motivated Saudi National Data Scientist with 2–3 years of experience in data analysis, statistical modeling, and predictive analytics. The ideal candidate will assist in transforming raw data into actionable insights, supporting data-driven decision-making across the organization. This role is ideal for candidates passionate about data, analytical problem-solving, and leveraging statistical techniques to derive business value.

Key Responsibilities:

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  Collect, clean, and pre process data from multiple sources to ensure accuracy and consistency.

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  Assist in building predictive models, statistical analyses, and machine learning solutions.

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  Support the development of dashboards and reports using Power BI, Tableau, or similar tools.

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  Collaborate with business teams to understand requirements and translate them into data-driven solutions.

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  Analyze trends, patterns, and anomalies to provide actionable business insights.

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  Participate in feature engineering, data transformation, and model evaluation.

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  Document methodologies, models, and analytical processes.

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  Ensure compliance with data security, governance, and quality standards.

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  Stay updated with emerging data science tools, techniques, and best practices.

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  Assist in presenting findings to stakeholders in a clear and concise manner.

Requirements

Skills Required:

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  2–3 years of experience in data analysis or data science.

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  Proficiency in Python, R, or similar programming languages for data analysis.

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  Strong knowledge of statistics, machine learning, and predictive modeling.

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  Experience with SQL and data querying.

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  Familiarity with Power BI, Tableau, or other visualization tools.

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  Understanding of data preprocessing, feature engineering, and model evaluation.

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  Strong analytical, problem-solving, and critical-thinking skills.

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  Excellent attention to detail and data accuracy.

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  Good communication and teamwork skills.

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  Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.