Data Scientist

Job not on LinkedIn

🔥 0 minutes ago

🇪🇬 Egypt – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Demo Computer

WebsiteLinkedInAll Job Openings

51 - 200 employees

🔒 Cybersecurity

Cybersecurity

Demo Computer is a leading IT solution provider in the Egyptian market, established in 2009. The company specializes in delivering tailored IT solutions and services for both distribution and end user domains. With a strong focus on building trust and strong relationships with customers, Demo Computer offers a wide range of services including IT Infrastructure Solutions, Cloud Computing, Data Center Infrastructure, Security Solutions, and more. It partners with renowned global technology vendors to provide integrated solutions across various industries.

📋 Description

• The posting provides placeholder text rather than substantive responsibilities: “Lorem ipsum dolor sit amet…” • No specific duties, deliverables, reporting structure, or project responsibilities are stated.

🎯 Requirements

• Mandatory: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. • Must have at least 3-5 years of experience in data science or a related role. • Essential proficiency in programming languages such as Python or R, and experience with data analysis libraries like Pandas, NumPy, and Scikit-learn. • Experience with data visualization tools such as Tableau, Power BI, or Matplotlib. • Strong understanding of machine learning algorithms and statistical methods. • Experience working with large datasets and familiarity with database technologies such as SQL. • Excellent communication skills, with the ability to convey complex data-driven insights to non-technical audiences.