Forward Deployed Senior Data Scientist

Whatyoullbuild

In this role you will design develop and apply advanced data science statistical and machine learning methods to solve complex business problems. Embedded within customer engagements and fast-paced delivery teams you will translate business challenges into scalable analytical and AI solutions that deliver measurable outcomes. Working closely with customers engineers and product teams you will build production-ready machine learning and Generative AI solutions while continuously improving model quality performance and business impact.

In this role you will:

• Transform business challenges into data-driven solutions byidentifyinganalytical opportunities exploring data engineering features and developing predictive models.

• Design develop train evaluate andoptimizemachine learning models and statistical solutions for enterprise business scenarios.

• Apply techniques across exploratory data analysis forecasting classification clustering recommendation systems anomaly detection experimentation causal analysis and predictive analytics.

• Develop Generative AI applications using Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) embeddings vector databases and Agentic AI frameworks.

• Integrate analytical and AI solutions into enterprise applications and business processes ensuring scalability robustness andproductionreadiness.

• Defineevaluationmetricsvalidatemodel performance monitor deployed models and continuously improve solution accuracy and reliability.

• Work closely with customer teams to understand business processes data landscapes and operational challenges to co-create impactful AI solutions.

• Collaborate with AI Engineers Data Engineers Product Managers and UX teams to deliver end-to-end AI products.

• Communicate analytical findings technical trade-offs and solution recommendations clearly to engineering teams and customer stakeholders.

• Stay current with the latest advancements in Data Science Machine Learning Generative AI and Agentic AI applying emerging techniques whereappropriate.

What you bring

• Strong hands-onexpertisein Data Science Machine Learning and Applied AI with excellentproficiencyin Python and SQL.

• Experience with machine learning frameworks such as Scikit-learn TensorFlowPyTorchXGBoost or similar technologies.

• Strong understanding of statistics probability hypothesis testing experimental design model evaluation and feature engineering.

• Experience developing predictive models recommendation systems forecasting models anomaly detection and classification algorithms.

• Hands-on experience with Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) embeddings vector databases and AI orchestration frameworks such asLangGraphLangChainCrewAI orAutoGen.

• Experience deploying machine learning and AI solutions using cloud-native platforms and modernMLOpspractices.

• Familiarity with SAP data landscapes including SAP S/4HANA SAP HANA Cloud SAP BW/4HANA SAP Business Technology Platform (BTP) AI Core AI Launchpad and SAP AI services is an advantage.

• Ability to translate ambiguous business requirements into practical analytical solutions while balancing model accuracy interpretability scalability and business value.

• Strong communication collaboration and problem-solving skills with the ability to work effectively in customer-facing environments.

• You proactivelyleverageAI in your everyday workflows ensuring high-quality outcomes through thoughtful context design experimentation and system integration.

Where you belong

You will be part of a growing AI and industry expert team dedicated to serving customers across the Americas Europe and Asia. We bring together deep AIexpertise strong industry knowledge and regional understanding to help customers innovate andlead intheir markets.Youllcollaborate with cross-functional teams to solve challenging business problems build enterprise-grade AI solutions and deliver measurable customer value. This is a place for curious builders who enjoy learning experimenting and applying AI to real-world business challenges.