Principal Data Scientist – IT Applications

نوفمبر 15, 2025

نظرة عامة على الوظيفة

  • تاريخ الإعلان
    نوفمبر 15, 2025
  • الموقع
  • تاريخ إنتهاء الصلاحية
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المسمى الوظيفي

411_2746873

We are seeking a highly skilled and experienced Principal Data Scientist / IT Engineer (Applications) to lead data-driven initiatives and drive innovation across our organization. The ideal candidate will have a strong background in data science, machine learning, and cloud-based analytics, with the ability to translate complex business problems into actionable insights.

المهام الأساسية:

  • Analyze large and complex datasets to identify trends, patterns, and business opportunities.
  • Develop, train, and deploy machine learning models for classification, regression, clustering, and recommendation systems.
  • Collaborate with cross-functional teams to define business challenges and design end-to-end data science solutions.
  • Communicate findings and insights through effective visualizations, dashboards, and presentations.
  • Implement MLOps best practices for model deployment, monitoring, and optimization.
  • Stay current with emerging technologies and advancements in data science, AI, and analytics.
  • Ensure scalability and performance of models in production environments.

Required Skills & Qualifications:

  • Proven experience in data science, machine learning, and advanced analytics.
  • Strong programming skills in Python, R, or Scala .
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP .
  • Familiarity with big data frameworks (e.g., Spark, Hadoop).
  • Solid understanding of statistical analysis , predictive modeling , و data engineering workflows .
  • Experience with MLOps , CI/CD pipelines, and deployment frameworks.
  • Excellent communication and problem-solving skills.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field .

المؤهلات الأساسية:

  • Experience working in large-scale enterprise environments.
  • Knowledge of data visualization tools such as Power BI , Tableau , or Looker .
  • Experience leading or mentoring junior data scientists or engineers.

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2025-11-12 12:28:48