Forward Deployed Data Scientist Expert

JOBZE; Dubai; Hybrid; AED 502,000 - 725,000; Full time

Job summary

JOBZE in the United Arab Emirates (Dubai) seeks an experienced Forward Deployed Data Scientist Expert. You will design, implement, and apply advanced ML methods to solve business-critical problems embedded within customer environments, delivering scalable, enterprise-grade insights with measurable value.

You will work closely with customers to translate challenges into robust analytical solutions, leveraging Python, SQL, and SAP data landscapes across S/4HANA, BW/4HANA, HANA Cloud, and BTP while

Qualifications

• Expert-level proficiency in data science and machine learning with end-to-end solution delivery.
• Hands-on Python and ML frameworks such as TensorFlow and PyTorch.
• Deep knowledge of statistics, experimentation, and causal inference.

Responsibilities

• Transform complex business problems into data-driven insights and robust models.
• Design, train, and deploy ML solutions that scale in enterprise environments.
• Collaborate with customers to integrate analytics into SAP and non-SAP platforms; define success metrics.
• Communicate findings to senior stakeholders and guide data-driven decisions.

Skills

Python

SQL

TensorFlow

PyTorch

Scikit-learn

XGBoost

SAP S/4HANA

SAP BW/4HANA

SAP HANA Cloud

SAP BTP

SAP AI Core

Job description

# Forward Deployed Data Scientist ExpertSAPUnited Arab Emirates - DubaiPosted 28 October 2026LinkedInDirect employerTop-rated employerEnterpriseGrowth-stageLocationUnited Arab Emirates - DubaiJob typeHybridExperience8-12 yearsSalaryAED 45k–65k/mo (est.)Apply on LinkedIn## Job descriptionIn this role, you design, develop, and apply advanced data science, statistical, and machine learning methods to solve complex, business-critical problems. Embedded directly within customer environments and fast-moving delivery teams, you translate strategic and operational challenges into rigorous analytical solutions at speed. You work closely with customers to deliver scalable, enterprise-grade outcomes that drive measurable business value. You are accountable for the quality, impact, and delivery of complex analytical initiatives acting as a subject-matter expert, managing ambiguity, and ensuring data-driven solutions are robust, reliable, and aligned with business objectives.In This Role, You Will- 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, ensuring enterprise-grade scalability and robustness.- Define success metrics, quantify business impact, and translate analytical results into clear, actionable recommendations for decision-makers.- Lead or manage complex analytical workstreams or projects, including deliverables, milestones, risks, and escalations, as appropriate.- Communicate insights, trade-offs, and recommendations effectively to cross-functional teams and customer stakeholders, influencing decisions through evidence and expertise.- Work in an embedded, customer-facing setup, collaborating closely with customer teams to deeply understand their data, applications, and business context co-developing impactful data and AI-driven solutions.What You Bring- Expert-level proficiency in data science and machine learning, with strong command of Python and SQL, and the ability to design, validate, and optimize end-to-end analytical and ML solutions.- Hands-on expertise 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.- Proven experience applying a wide range of ML techniques classification, forecasting, clustering, recommendation systems, anomaly detection balancing accuracy, robustness, interpretability, and usability at scale.- Strong capability to translate ambiguous business questions into measurable analytical problems and connect model outputs to commercial, operational, or strategic decisions.- Experience delivering production-ready analytics and ML systems on modern data platforms, with a strong focus on data quality, governance, and reusability.- Exposure to SAP data landscapes including SAP S/4HANA, SAP BW/4HANA, SAP HANA Cloud, and familiarity with SAP Business Technology Platform (BTP), AI Core, AI Launchpad, and SAP AI services.- Ability to operate effectively in an Agentic AI context, contributing to the design, application, and responsible use of AI agents within complex business processes.- Advanced communication and collaboration skills, with the ability to influence senior stakeholders through clear data narratives and executive-ready insights.- You proactively leverage AI in everyday workflows, ensuring high-quality outputs through thoughtful context design and system integration.## SkillsPythonSQLTensorFlowPyTorchScikit-learnXGBoostSAP S/4HANASAP BW/4HANASAP HANA CloudSAP Business Technology Platform (BTP)SAP AI Core## What Jobze.ai noticed* Requires expert-level proficiency in Python, SQL, and leading machine learning frameworks like TensorFlow and PyTorch.* Demands hands-on experience integrating analytics with enterprise SAP landscapes such as S/4HANA, BW/4HANA, HANA Cloud, and SAP BTP.* Involves customer-facing advisory and forward-deployed solution delivery focusing on AI, machine learning, and agentic systems.This role was published by SAP on LinkedIn. Jobze.ai is not the employer and does not take applications - they are handled on the original site.