Data Science Expert (Dubai, Dubai, AE, 118353)

SAP
Dubai
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 6+ yearsSkills: ["Structured problem-solving","Cross-functional collaboration","Data storytelling","Executive communication","Influencing decisions with evidence"]

Turn high-value business problems into measurable data products by applying statistics, experimentation, forecasting, segmentation, anomaly detection, and causal analysis. Build and validate machine learning models, define success metrics, and quantify business impact with evidence. Partner with product, engineering, sales, operations, or finance to translate insights into roadmap decisions. Contribute to AI-driven analytics using NLP, embeddings, and LLM-assisted workflows for decision support.

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FursaFursa
SAP
SAP
2 hours ago

Data Science Expert (Dubai, Dubai, AE, 118353)

✓ Verified Job

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

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

Job Summary

Turn high-value business problems into measurable data products by applying statistics, experimentation, forecasting, segmentation, anomaly detection, and causal analysis. Build and validate machine learning models, define success metrics, and quantify business impact with evidence. Partner with product, engineering, sales, operations, or finance to translate insights into roadmap decisions. Contribute to AI-driven analytics using NLP, embeddings, and LLM-assisted workflows for decision support.
Location: Dubai
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Identify high-value business problems and frame them analytically to deliver models and insights that improve customer outcomes and product performance.
  • •Run exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, and causal analysis.
  • •Build and validate machine learning solutions; define success metrics and quantify impact, translating results into business actions.
  • •Contribute to AI-driven analytics using NLP, embeddings, and LLM-assisted workflows (e.g., summarization, classification, knowledge extraction, decision support).
  • •Partner with stakeholders across product, engineering, sales, operations, and finance to explain trade-offs and influence roadmap decisions with evidence.
Travel: Low travel

Key Requirements

  • •6+ years of data science experience with strong statistical and probabilistic thinking.
  • •Strong command of Python and SQL for data extraction, analysis, feature engineering, and analytical automation.
  • •Hands-on experience with ML techniques including classification, forecasting, clustering, recommendation systems, anomaly detection, and propensity modeling.
  • •Ability to frame business problems into measurable analytical questions and define success metrics tied to commercial or operational decisions.
  • •Practical expertise in feature selection, model validation, error analysis, bias identification, and balancing trade-offs between accuracy and usability.
Experience:6+ years
Skills:Structured problem-solvingCross-functional collaborationData storytellingExecutive communicationInfluencing decisions with evidence
Tech Stack:PythonSQLMachine learningNLPEmbeddingsLLM-assisted analyticsA/B testingRegressionSparkCloud data warehousesNotebooksBI tools

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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