Senior Data Scientist

Overview

Problem Framing & Solution Design

• Partner with business stakeholders to translate operational problems into analytical and ML use cases
• Define hypotheses, success metrics, and evaluation frameworks
• Identify the right modeling approach (statistical, classical ML, deep learning, optimization)

Model Development & Experimentation

• Perform exploratory analysis, feature engineering, and model selection
• Develop, train, validate, and tune predictive, prescriptive, and generative models
• Apply rigorous experimentation, cross-validation, and bias / fairness checks

Mlops & Productionization

• Work with data and platform engineers to deploy models into production
• Implement monitoring for drift, performance, and data quality
• Contribute to MLOps standards, model registries, and reproducibility practices

Communication & Adoption

• Communicate findings, model behavior, and limitations clearly to non-technical audiences
• Drive adoption of analytical solutions through training, documentation, and stakeholder engagement

Technical

• 6+ years of applied data science / machine learning experience
• Strong proficiency in Python (pandas, scikit-learn, PyTorch or TensorFlow) and SQL
• Hands-on experience across multiple model families, including:
• Regression, classification, and time-series forecasting
• Optimization and operations research methods
• Deep learning and/or modern LLM / generative approaches (a plus)
• Experience deploying models on cloud platforms (AWS SageMaker, Azure ML, Databricks, or equivalent)
• Solid understanding of statistics, experimental design, and causal inference
• Familiarity with MLOps practices and tooling (MLflow, model registries, CI/CD for ML)

Industry And Domain (Highly Preferred)

• Experience in mining, metals, heavy industry, oil & gas, utilities, or other large industrial sectors is a strong plus
• Exposure to predictive maintenance, process optimization, supply chain analytics, geological / exploration data, or sensor / IoT analytics is highly valued
• Prior experience in the GCC or Saudi Arabia is an advantage

Governance & Compliance Awareness

• Awareness of model risk, explainability, and responsible AI principles
• Understanding of data privacy, PII handling, and regulatory considerations

Soft Skills

• Strong storytelling and ability to translate analytics into business impact
• Comfort working directly with senior business stakeholders
• Curious, structured, and pragmatic problem-solver

Preferred

• Degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or related quantitative field; advanced degree (MSc / PhD) is a strong advantage
• Relevant cloud or ML certifications are a plus

Additional Requirements

• Onsite presence in Riyadh required
• Experience working in large enterprise or government environments
• Ability to operate in a multi-vendor delivery ecosystem