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Data Science & AI Specialist

MIS - Al Moammar Information Systems Co.

Riyadh

On-site

SAR 200,000 - 300,000

Full time

Yesterday
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Job summary

A technology and information services company in Saudi Arabia is seeking a mid-senior level Data Science & AI Specialist. This role involves designing and supporting AI/ML solutions, collaborating with teams to enable data-driven decision-making, and presenting analytical insights to stakeholders. The ideal candidate will have a minimum of 7 years of experience in data science along with strong programming skills in Python and SQL. This is a full-time position that requires excellent communication skills.

Qualifications

  • Minimum 7 years of experience in data science, AI, or advanced analytics roles.
  • Proficiency in Python (Pandas, NumPy, SciPy, Scikit-learn) and/or R.
  • Strong foundation in statistics, probability, and hypothesis testing.

Responsibilities

  • Design, develop, and support data science and AI/ML solutions.
  • Perform data preparation, exploratory data analysis, and statistical modeling.
  • Present insights and model outcomes to stakeholders.

Skills

Statistical analysis
Data visualization
Machine learning
SQL
Python (Pandas, NumPy)
R
Big data platforms (Spark, Hadoop)
Excellent communication

Tools

Tableau
Power BI
Matplotlib
Seaborn
Job description

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Responsibilities
  • Design, develop, and support data science and AI/ML solutions to enable data-driven decision‑making.
  • Perform data preparation, exploratory data analysis (EDA), and statistical modeling.
  • Develop and evaluate machine learning models (regression, classification, clustering).
  • Support the end‑to‑end AI/ML lifecycle from data ingestion through model deployment.
  • Collaborate with cross‑functional teams to translate business problems into analytical solutions.
  • Present insights, model outcomes, and recommendations to technical and non‑technical stakeholders.
Requirements
  • Min. 7 Yrs experience in data science, AI, or advanced analytics roles
  • Strong foundation in statistics, probability, and hypothesis testing
  • Proficiency in Python (Pandas, NumPy, SciPy, Scikit-learn) and/or R
  • Solid understanding of machine learning techniques and evaluation methods
  • Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn)
  • Strong knowledge of SQL for data extraction and transformation
  • Familiarity with big data platforms (Spark, Hadoop) is an advantage
  • Awareness of AI governance, IT, and enterprise frameworks such as
  • ISO 20000, ISO 2700
  • ITIL 4, DevOps, Agile SDL
  • CTOGAF, NOR
  • Excellent communication and stakeholder engagement skills
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Technology, Information and Media

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