Data Science & AI Specialist

MIS - Al Moammar Information Systems Co.; Riyadh; On-site; SAR 200,000 - 300,000; Full time

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