Forward Deployed Data Scientist Expert (Dubai, Dubai, AE, 118353)

SAP
Dubai
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Stakeholder management","Problem-solving","Analytical thinking"]

Design, develop, and apply advanced data science, statistical, and machine learning methods to solve complex business-critical problems in embedded customer environments. Translate customer and delivery team challenges into robust analytical solutions across experimentation, forecasting, segmentation, anomaly detection, and causal analysis. Integrate ML solutions into products and processes with enterprise-grade scalability, define success metrics, and communicate evidence-based recommendations to cross-functional stakeholders.

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FursaFursa
SAP
SAP
2 hours ago

Forward Deployed Data Scientist Expert (Dubai, Dubai, AE, 118353)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design, develop, and apply advanced data science, statistical, and machine learning methods to solve complex business-critical problems in embedded customer environments. Translate customer and delivery team challenges into robust analytical solutions across experimentation, forecasting, segmentation, anomaly detection, and causal analysis. Integrate ML solutions into products and processes with enterprise-grade scalability, define success metrics, and communicate evidence-based recommendations to cross-functional stakeholders.
Location: Dubai
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Transform complex business challenges into data-driven intelligence by identifying high-value problems, framing them analytically, and engineering robust features and insights.
  • •Design, develop, train, and implement mathematical models, algorithms, and ML solutions to solve complex business problems.
  • •Apply advanced analytical techniques across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, and causal analysis.
  • •Integrate analytical and machine learning solutions into products, prototypes, or business processes with enterprise-grade scalability and robustness.
  • •Define success metrics, quantify business impact, and communicate actionable insights and recommendations to decision-makers and cross-functional stakeholders.
Travel: Low travel

Key Requirements

  • •Expert-level proficiency in data science and machine learning, including Python and SQL for end-to-end analytical and ML solutions.
  • •Hands-on experience with Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and XGBoost.
  • •Applied knowledge of statistics and experimentation, including hypothesis testing, experimental design, causal inference, and uncertainty interpretation.
  • •Experience applying multiple ML techniques (e.g., classification, forecasting, clustering, recommendation systems, anomaly detection) with a focus on accuracy, robustness, and interpretability.
  • •Ability to translate ambiguous business questions into measurable analytical problems and connect outputs to commercial, operational, or strategic decisions.
Experience:AIMachine learning
Skills:CommunicationCollaborationStakeholder managementProblem-solvingAnalytical thinking
Tech Stack:PythonSQLTensorFlowPyTorchScikit-learnXGBoostSAP S/4HANASAP BW/4HANASAP HANA CloudSAP Business Technology Platform (BTP)AI CoreAI LaunchpadSAP AI servicesAgentic AI

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
Glassdoor
Glassdoor: 4.1
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