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Data Scientist
Position Title: Data Scientist
Job Location: Saudi Arabia
Job Type: Full Time
Job Summary & Requirements:
The Data Scientist will be responsible for analyzing complex data sets to derive actionable insights, build predictive models, and assist in data-driven decision-making processes. The ideal candidate will have expertise in machine learning, statistical analysis, and data visualization tools. This role involves working closely with cross-functional teams to improve business outcomes by leveraging data.
Education:
Bachelor’s degree in Data Science, Computer Science, or a related field. Master’s degree or Ph.D. in a quantitative field is preferred.
Experience:
3+ years of experience as a Data Scientist or in a similar role. Experience with machine learning algorithms, statistical analysis, and big data technologies. Experience in handling large datasets and working with structured and unstructured data.
Certification:
Certification in data science, machine learning, or relevant programming languages (Python, R) is a plus.
Job Description:
As a Data Scientist, you will be responsible for analyzing data to solve complex problems and help the organization make data-driven 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 data-driven 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 non-technical 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 problem-solving and analytical skills. Ability to communicate complex technical concepts to non-technical 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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