Senior Data Scientist Job Riyadh Riyadh Region Saudi Arabia,IT/Tech

CME is a technology partner with 40+ years of experience creating and modernizing systems, scaling AI, and enabling transformation that lasts. Our solutions power Fortune 500 brands and serve 80M+ daily users worldwide, with 90%+ client retention built on trust and delivery excellence. By uniting strategy, engineering, and adoption under one roof, we give enterprises the resilience and agility to reimagine business and lead the future.

Job Description

This is a remote position.

We are seeking a Senior Data Scientist to design and deliver advanced analytics and machine learning solutions that drive measurable business value. The role spans the full lifecycle from problem framing and feature engineering to model development, deployment, and monitoring, with a strong focus on explainability, robustness, and operational adoption.

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)
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
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

Requirements Technical

6–10+ years of applied data science / machine learning experience
Strong proficiency in Python (pandas, scikit-learn, PyTorch or Tensor Flow) and SQL
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 Sage Maker, 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 / 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

Education & Certifications

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

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