Forward Deployed Senior Data Scientist

SAP
Dubai
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Problem-solving","Customer-facing collaboration"]

Design, develop, and deploy advanced data science, statistical, and machine learning solutions embedded in customer engagements and fast delivery teams. Translate business challenges into scalable analytical and AI systems, including Generative AI with LLMs, RAG, embeddings, vector databases, and agentic AI frameworks. Own model evaluation, monitoring, and continuous improvement, and integrate production-ready AI into enterprise applications while collaborating with engineers and product teams.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
SAP
SAP
2 hours ago

Forward Deployed Senior Data Scientist

✓ 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

Design, develop, and deploy advanced data science, statistical, and machine learning solutions embedded in customer engagements and fast delivery teams. Translate business challenges into scalable analytical and AI systems, including Generative AI with LLMs, RAG, embeddings, vector databases, and agentic AI frameworks. Own model evaluation, monitoring, and continuous improvement, and integrate production-ready AI into enterprise applications while collaborating with engineers and product teams.
Location: Dubai
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Transform business challenges into data-driven solutions by identifying analytical opportunities, exploring data, engineering features, and building predictive models.
  • •Design, develop, train, evaluate, and optimize ML and statistical solutions for enterprise business scenarios.
  • •Apply methods such as exploratory data analysis, forecasting, classification, clustering, recommendation systems, anomaly detection, experimentation, causal analysis, and predictive analytics.
  • •Develop Generative AI applications using LLMs, RAG, embeddings, vector databases, and agentic AI frameworks.
  • •Integrate and maintain production-ready AI solutions by defining evaluation metrics, validating performance, monitoring deployed models, and improving accuracy and reliability.
Travel: Low travel

Key Requirements

  • •Hands-on expertise in data science, machine learning, and applied AI, with strong proficiency in Python and SQL.
  • •Experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar technologies.
  • •Strong foundations in statistics, probability, hypothesis testing, experimental design, model evaluation, and feature engineering.
  • •Experience building predictive models and methods including recommendation systems, forecasting, anomaly detection, and classification.
  • •Practical experience with LLMs and Generative AI (prompt engineering, RAG, embeddings, vector databases) and AI orchestration frameworks such as LangGraph, LangChain, CrewAI, or AutoGen.
Skills:CommunicationCollaborationProblem-solvingCustomer-facing collaboration
Tech Stack:PythonSQLScikit-learnTensorFlowPyTorchXGBoostLarge Language Models (LLMs)Prompt EngineeringRetrieval-Augmented Generation (RAG)EmbeddingsVector databasesLangGraphLangChainCrewAIAutoGenMachine learningStatistical solutionsMLOps

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
WebsiteLinkedInGlassdoor