Forward Deployed Data Science Expert (Singapore, SG, 117440)

SAP
Singapore
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Influencing stakeholders","Strategic thinking","Context design"]

Design, develop, and apply advanced data science and machine learning methods to solve complex, business-critical problems in an embedded, customer-facing setup. Translate strategic and operational challenges into rigorous analytical solutions, integrating models into products, prototypes, or business processes. Define success metrics, quantify business impact, communicate insights to stakeholders, and lead analytical workstreams to deliver robust, enterprise-grade outcomes aligned to business objectives.

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FursaFursa
SAP
SAP
2 hours ago

Forward Deployed Data Science Expert (Singapore, SG, 117440)

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Last checked: 2 hours agoStatus: Live

Job Summary

Design, develop, and apply advanced data science and machine learning methods to solve complex, business-critical problems in an embedded, customer-facing setup. Translate strategic and operational challenges into rigorous analytical solutions, integrating models into products, prototypes, or business processes. Define success metrics, quantify business impact, communicate insights to stakeholders, and lead analytical workstreams to deliver robust, enterprise-grade outcomes aligned to business objectives.
Location: Singapore
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

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 machine learning solutions into products, prototypes, or business processes with enterprise-grade scalability and robustness.
  • •Define success metrics, quantify business impact, and communicate insights, trade-offs, and recommendations to cross-functional teams and customer stakeholders.
Travel: Low travel

Key Requirements

  • •Expert-level proficiency in data science and machine learning with strong command of Python and SQL to design, validate, and optimize end-to-end analytical/ML solutions.
  • •Hands-on expertise with Python and ML frameworks including TensorFlow, PyTorch, Scikit-learn, and XGBoost.
  • •Deep applied knowledge of statistics and experimentation, including hypothesis testing, experimental design, causal inference, and uncertainty interpretation.
  • •Proven experience applying ML techniques (e.g., classification, forecasting, clustering, recommendation, anomaly detection) with attention to accuracy, robustness, interpretability, and usability.
  • •Experience delivering production-ready analytics and ML systems with a focus on data quality, governance, and reusability (SAP data landscapes exposure preferred).
Experience:Enterprise-grade analyticsMachine learningAIProduction analyticsSAP data landscapes
Skills:CommunicationCollaborationInfluencing stakeholdersStrategic thinkingContext design
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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