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Data Scientist - Onsite (Riyadh) - Octopus - Immediate hire

Data Scientist - Onsite (Riyadh) - Octopus - Immediate hire

Robusta StudioRiyadh, Riyadh Region, Saudi Arabia
13 منذ أيام
الوصف الوظيفي

Data Scientist - Onsite (Riyadh) - Octopus - Immediate hire

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About Octopus By RTG. Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group , dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada . We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.

We are hiring a Data Scientist for one of our partner organizations in KSA on a 1-year contract , offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.

Main Responsibilities

  • Identify and prioritize AI / ML use cases that deliver measurable business value and ROI
  • Develop, validate, and deploy machine learning models for fraud detection, claim risk prediction, customer segmentation, and pricing optimization
  • Build and maintain end-to-end data pipelines including data preparation, feature engineering, and model deployment
  • Implement advanced analytics techniques, including deep learning, NLP, and computer vision where applicable
  • Collaborate with ML Engineers to productionize models using MLOps best practices and CI / CD pipelines
  • Ensure compliance with Saudi regulations (PDPL, NDMO) for data usage, model development, and AI governance
  • Implement model monitoring, drift detection, and automated retraining pipelines to maintain model performance
  • Partner with business stakeholders to translate complex business problems into actionable data-driven solutions
  • Conduct A / B testing and experimentation to measure model effectiveness and optimize outcomes
  • Develop and deploy explainable AI (XAI) models ensuring transparency and regulatory compliance
  • Prepare technical documentation, analytical reports, and executive dashboards on model outcomes and insights
  • Lead knowledge transfer sessions and mentor junior data scientists and analysts to build internal capabilities
  • Stay current with latest AI / ML research and evaluate new technologies and techniques for business applications
  • Collaborate with the Data Engineering team to ensure high-quality, reliable data for ML models
  • Support the development of enterprise ML platforms and reusable AI / ML components

Requirements

Main Requirements

Education

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (required)
  • Master's or PhD in Machine Learning, Data Science, Statistics, or Artificial Intelligence (preferred)
  • Relevant certifications such as Google Cloud ML Engineer, AWS Certified Machine Learning, TensorFlow Developer, or Azure AI Engineer are a plus
  • Experience & Skills

  • 5+ years of proven experience in Machine Learning, Data Science, and Applied Statistics
  • Strong expertise in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost)
  • Proficiency in SQL and experience working with big data platforms (e.g., BigQuery, Spark, Databricks)
  • Hands-on experience with MLOps tools such as Kubeflow, MLflow, Vertex AI, or SageMaker
  • Demonstrated ability to work with structured and unstructured data (JSON, text, images)
  • Deep understanding of statistical methods, experimental design, and hypothesis testing
  • Proven track record in model deployment, monitoring, and lifecycle management
  • Familiarity with cloud-native ML platforms (Vertex AI, Azure ML, SageMaker)
  • Knowledge of AI governance frameworks, explainable AI (XAI), and model interpretability
  • Experience with deep learning, computer vision, and natural language processing (NLP)
  • Knowledge of generative AI, LLMs, and real-time or edge ML deployment
  • Strong understanding of Saudi data regulations (PDPL, NDMO, SAMA)
  • Experience in the insurance or financial services domain (fraud detection, pricing models, claims prediction)
  • Excellent communication skills to explain complex analytical findings to non-technical audiences
  • Strong leadership and mentoring abilities, with experience guiding data science teams
  • Seniority level

    Mid-Senior level

    Employment type

    Full-time

    Job function

    Other

    Industries

    IT Services and IT Consulting

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