Forward Deployed Data Scientist Expert

SAP
Riyadh
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Stakeholder influence"]

Design, develop, and deploy advanced machine learning and statistical solutions embedded in customer environments and fast-moving delivery teams. Translate complex business challenges into analytical intelligence by engineering robust features, training models, and applying methods like forecasting, segmentation, anomaly detection, and causal analysis. Own success metrics and measurable business impact, communicate insights to cross-functional stakeholders, and help deliver scalable, enterprise-grade outcomes using modern data platforms and SAP AI services.

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FursaFursa
SAP
SAP
2 hours ago

Forward Deployed Data Scientist Expert

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

Job Summary

Design, develop, and deploy advanced machine learning and statistical solutions embedded in customer environments and fast-moving delivery teams. Translate complex business challenges into analytical intelligence by engineering robust features, training models, and applying methods like forecasting, segmentation, anomaly detection, and causal analysis. Own success metrics and measurable business impact, communicate insights to cross-functional stakeholders, and help deliver scalable, enterprise-grade outcomes using modern data platforms and SAP AI services.
Location: Riyadh
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 machine learning solutions to solve complex business problems.
  • •Apply advanced techniques across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, causal analysis, and machine learning.
  • •Integrate analytical and ML solutions into products, prototypes, or business processes, ensuring enterprise-grade scalability and robustness.
  • •Lead or manage complex analytical workstreams by defining success metrics, communicating trade-offs and recommendations, and collaborating closely with customer teams to deliver outcomes.
Travel: Low travel

Key Requirements

  • •Expert-level proficiency in data science and machine learning, including end-to-end analytical and ML solution design, validation, and optimization with Python and SQL.
  • •Hands-on experience with Python and ML frameworks such as TensorFlow, PyTorch, scikit-learn, and XGBoost.
  • •Deep applied knowledge of statistics and experimentation, including hypothesis testing, experimental design, causal inference, and uncertainty interpretation.
  • •Experience applying a range of ML techniques (classification, forecasting, clustering, recommendation systems, anomaly detection) with a focus on accuracy, robustness, interpretability, and usability at scale.
  • •Ability to translate ambiguous business questions into measurable analytical problems and connect model outputs to commercial, operational, or strategic decisions.
Skills:CommunicationCollaborationStakeholder influence
Tech Stack:PythonSQLTensorFlowPyTorchScikit-learnXGBoostSAP S/4HANASAP BW/4HANASAP HANA CloudSAP Business Technology Platform (BTP)AI CoreAI LaunchpadSAP AI services

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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