About
In this role, you will 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 will translate strategic and operational challenges into rigorous analytical solutions at speed. You will work closely with customers to deliver scalable, enterprise-grade outcomes that drive measurable business value.
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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, 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.
- Collaborate closely with customer teams to deeply understand their data, applications, and business context — co-developing impactful data and AI-driven solutions.
Requirements
- Expert-level proficiency in data science and machine learning, with strong command of Python and SQL.
- 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, and causal inference.
- Proven experience applying a wide range of ML techniques — classification, forecasting, clustering, recommendation systems, and anomaly detection.
- Strong capability to translate ambiguous business questions into measurable analytical problems.
- Experience delivering production-ready analytics and ML systems, with a strong focus on data quality, governance, and reusability.
- Exposure to the company data landscapes including the company S/4HANA and the company HANA Cloud.
- Advanced communication and collaboration skills, with the ability to influence senior stakeholders through clear data narratives.
Location
Dubai, Dubai, AE, 118353
Expected Travel
0 - 10%
Employment Type
Regular Full Time
