Data Scientist - Saudi Business Machines
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1 Vacancy
Job Description
As a Data Scientist you will be responsible for analyzing data to solve complex problems and help the organization make datadriven decisions. You will develop models that predict trends and patterns optimize processes and help improve business performance.
Detailed Responsibilities:
- Analyze and interpret large and complex datasets to identify patterns trends and insights.
- Build predictive models and machine learning algorithms to solve business problems.
- Collaborate with business stakeholders to understand their requirements and translate them into datadriven solutions.
- Use statistical techniques to validate hypotheses and assess the performance of models.
- Design experiments and perform A/B testing to measure the impact of changes and make recommendations.
- Develop data pipelines and automated workflows to ensure data availability and reliability for analysis.
- Create data visualizations and reports to communicate findings and recommendations to nontechnical stakeholders.
- Continuously monitor and improve the accuracy of predictive models and analytics solutions.
- Stay updated with the latest industry trends tools and techniques in data science and analytics.
- Work with engineering teams to deploy machine learning models into production environments.
- Collaborate with data engineers to ensure data quality and efficient data management.
Skills & Expertise:
- Proficiency in programming languages such as Python R or Java for data analysis and modeling.
- Strong experience with machine learning algorithms (e.g. decision trees random forests neural networks clustering regression).
- Expertise in statistical analysis and predictive modeling.
- Experience with data visualization tools (e.g. Tableau Power BI Matplotlib).
- Familiarity with big data tools and technologies (e.g. Hadoop Spark SQL).
- Strong understanding of data structures data cleaning and data transformation techniques.
- Knowledge of cloud platforms (e.g. AWS Google Cloud Azure) is an advantage.
- Excellent problemsolving and analytical skills.
- Ability to communicate complex technical concepts to nontechnical stakeholders.
- Strong understanding of business operations and how data can improve business outcomes.
Preferred Qualifications:
- Experience working with deep learning frameworks (e.g. TensorFlow PyTorch).
- Knowledge of natural language processing (NLP) and computer vision techniques.
- Experience with big data and distributed computing systems.
- Prior experience working in industries such as finance healthcare or technology is a plus.
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Employment Type
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