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Data Scientist: Insights, ML Models & Dashboards

Müller`s Solutions

Riyad Al Khabra

On-site

SAR 200,000 - 300,000

Full time

Today
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Job summary

A technology-driven company in Saudi Arabia is looking for an experienced Data Scientist to join their dynamic team. You will analyze data, develop machine learning models, and collaborate with various departments to enhance data-driven strategies. The ideal candidate will have a relevant degree, proficiency in Python or R, and strong data visualization skills. Competitive salary and benefits are offered, alongside exciting projects in a collaborative environment.

Benefits

Competitive salary and benefits package
Opportunity to work with a talented and passionate team
Exciting projects and innovative work environment

Qualifications

  • Proven experience as a Data Scientist or in a similar data-focused role.
  • Strong skills in data visualization tools (Tableau, Power BI) for developing clear insights.
  • Excellent analytical thinking and problem-solving abilities.

Responsibilities

  • Analyze vast amounts of structured and unstructured data to derive insights.
  • Develop, implement, and maintain machine learning models.
  • Work alongside stakeholders to define project objectives and translate requirements.

Skills

Data analysis
Programming (Python, R)
Machine learning
Data visualization (Tableau, Power BI)
Statistical methods
SQL
Analytical thinking
Communication skills

Education

Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics or related field

Tools

scikit-learn
TensorFlow
PyTorch
Job description
A technology-driven company in Saudi Arabia is looking for an experienced Data Scientist to join their dynamic team. You will analyze data, develop machine learning models, and collaborate with various departments to enhance data-driven strategies. The ideal candidate will have a relevant degree, proficiency in Python or R, and strong data visualization skills. Competitive salary and benefits are offered, alongside exciting projects in a collaborative environment.
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