About the Job
Job Purpose:
To acquire, wrangle, analyze, and interpret data to derive actionable insights and drive strategic decision-making. This role focuses on applying advanced statistical modeling, machine learning, and data science methodologies to solve real-world business problems and optimize performance across the organization.
Key Responsibilities
- Define and implement data collection strategies and pipelines to ensure high-quality, structured inputs for analysis.
- Perform data cleaning, transformation, and exploration on structured and unstructured data sources.
- Develop and deploy statistical models and machine learning algorithms to extract patterns and predict outcomes.
- Design and execute controlled experiments (A/B tests, multivariate tests) to evaluate business strategies and hypothesis-driven outcomes.
- Conduct feature engineering, apply advanced data preprocessing techniques, and evaluate various model configurations for performance improvement.
- Optimize hyperparameters (e.g., learning rate, number of layers, regularization) to fine-tune model performance.
- Develop and deploy machine learning pipelines for production environments.
- Perform fine-tuning of Large Language Models (LLMs) for custom use cases and business applications.
- Clearly communicate insights, analysis, and recommendations to technical and non-technical stakeholders.
- Stay current with cutting-edge research and apply new methodologies and tools in practical settings.
- Collaborate with cross-functional teams including engineering, product, and business to integrate data solutions.
Required Skills & Competencies
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Solid foundation in Statistics, Probability, and Mathematical Modeling.
- Experience with Machine Learning, Deep Learning, and Data Mining techniques.
- Ability to perform data visualization using tools such as Matplotlib, Seaborn, Plotly, or Power BI/Tableau.
- Proficiency in data wrangling and data pipeline design (SQL, APIs, ETL tools).
- Strong analytical and problem-solving capabilities.
- Excellent communication skills—ability to explain complex ideas in simple terms.
- Proven experience in business-oriented data science—driving real-world impact.
- (Preferred but not required) Arabic-speaking capability to support regional teams.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
- Experience working with LLMs (e.g., GPT, BERT) and fine-tuning transformer-based models.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and ML Ops tools.
- Knowledge of data versioning, model monitoring, and deployment best practices.
- Background in business analytics or domain-specific problem-solving (finance, retail, healthcare, etc).
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
Location: Riyadh, Saudi Arabia
Work Conditions: On-site, Full-time
