Forward Deployed Data Scientist Expert

Job Summary

Design, develop, and apply advanced data science, statistical, and machine learning methods to solve complex business problems. Embedded within customer environments, you translate strategic and operational challenges into rigorous analytical solutions and deliver scalable, enterprise-grade outcomes that drive measurable business value.

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 actionable recommendations for decision-makers.
• Lead or manage complex analytical workstreams or projects, including deliverables, milestones, risks, and escalations.
• Communicate insights, trade-offs, and recommendations effectively to cross-functional teams and customer stakeholders.
• Work in an embedded, customer-facing setup, collaborating closely with customer teams to co-develop 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, causal inference, and uncertainty interpretation.
• Proven experience applying a wide range of ML techniques — classification, forecasting, clustering, recommendation systems, anomaly detection.
• 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 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 ability to influence senior stakeholders through clear data narratives and executive-ready insights.
• Proactive leverage of AI in everyday workflows, ensuring high-quality outputs through thoughtful context design and system integration.

What the company offers

• Constant learning and skill growth opportunities.
• Great benefits and flexible working models.
• Team environment focused on personal development and growth.
• Expected travel: 0 – 10%.

We refresh listings regularly, but some roles close early on the source platform.