Entry-Level AI Data Scientist: Build & Deploy ML

International Business Machines Corporation; Al-Bahah Province; Sur place; SAR 150 000 - 230 000; Plein temps

Résumé du poste

IBM Consulting in Saudi Arabia invites an entry-level Data Scientist to join a global team building AI solutions. You'll work under senior data scientists on end-to-end AI/ML projects, applying Python, statistics, and ML frameworks to solve real business problems.

You'll collaborate with engineers, architects, and business analysts, contribute to responsible AI practices, and communicate findings with clarity to non-technical stakeholders.

Qualifications

• Solid foundation in mathematics, statistics, and probability.
• Proficient in Python for data analysis and ML (NumPy, Pandas, Matplotlib).
• Knowledge of common ML algorithms and evaluation metrics.
• Understanding of deep learning concepts and architectures.
• Experience with at least one ML framework (scikit-learn, TensorFlow, PyTorch).
• SQL and data wrangling skills; good communication in English.
• Strong problem-solving and analytical abilities; team-oriented.

Responsabilités

• Design, build, and deploy AI/ML solutions across projects.
• Participate in problem definition, data collection, and model deployment.
• Collaborate with stakeholders to translate requirements into analytics.
• Prepare data, perform EDA, and experiment with models.
• Develop dashboards and visualizations to communicate results.
• Document methodologies and ensure reproducibility; abide by responsible AI.

Connaissances

Math & stats

Python (pandas)

ML algorithms

Model evaluation

Deep learning basics

ML framework(s)

SQL

Data wrangling

English communication

Problem solving

Outils

scikit-learn

TensorFlow/PyTorch

MLflow

Kubeflow

DVC

Databricks

Description du poste

IBM Consulting in Saudi Arabia invites an entry-level Data Scientist to join a global team building AI solutions. You'll work under senior data scientists on end-to-end AI/ML projects, applying Python, statistics, and ML frameworks to solve real business problems.

You'll collaborate with engineers, architects, and business analysts, contribute to responsible AI practices, and communicate findings with clarity to non-technical stakeholders.