Forward Deployed Data Scientist Expert (f/m/d)

What You’ll Build

In 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 that deliver measurable business value for customers and SAP.

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 data mining or machine learning solutions to solve complex business problems.
• Apply advanced techniques across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, and causal analysis.
• 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.
• 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 on‑site or in the customer environment to deeply understand their data, applications, and business context, and to co‑develop and deliver 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.
• Ability to operate effectively in an Agentic AI context, contributing to the design, application, and responsible use of AI agents within complex business processes.
• Deep applied knowledge of statistics and experimentation, including hypothesis testing, experimental design, causal inference, and uncertainty interpretation.
• Proven experience applying a wide range of machine learning 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 using modern data platforms, with a strong focus on data quality, governance, and reusability.
• Advanced communication and collaboration skills, with the ability to influence senior stakeholders through clear data narratives and executive‑ready insights.
• Design and implement robust end‑to‑end data pipelines and ETL/ELT processes, leveraging big data frameworks (PySpark, Databricks), modern storage formats (Parquet, Delta Lake), and real‑time streaming technologies (Kafka or similar).
• Apply strong expertise in data modelling, system integration, and orchestration (Airflow), with hands‑on experience in enterprise platforms such as SAP HANA, ensuring scalable and efficient data architectures.
• Ensure high‑quality, governed, and compliant data workflows by integrating CI/CD, Docker, and Git practices, while proactively leveraging AI in day‑to‑day processes to enhance productivity, context‑aware design, and output quality.

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