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

SAP; Garching bei München; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

SAP in Garching bei München is seeking a data scientist proficient in machine learning and data science techniques. In this role, you will design and develop solutions to solve complex business problems, working closely with customer teams to integrate analytics into their environments.

The ideal candidate will have expert knowledge of Python, SQL, and experience with modern data platforms. This position offers an opportunity to influence decision-making through robust data-driven insights.

Qualifikationen

• Expert-level proficiency in data science and machine learning.
• Strong command of Python and SQL.
• Experience in delivering production-ready analytics systems.
• Ability to translate business questions into analytical problems.

Aufgaben

• Design, develop, and implement analytical solutions.
• Integrate machine learning solutions into business processes.
• Manage complex analytical workstreams and communicate insights.
• Collaborate with customer teams to deliver data-driven solutions.

Kenntnisse

Data science expertise

Machine learning proficiency

Python

SQL

Statistical analysis

Data modeling

Communication skills

Ausbildung

Degree in Data Science, Statistics, or related field

Tools

PySpark

Databricks

SAP HANA

Kafka

Jobbeschreibung

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.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e‑mail with your request to Recruiting Operations Team: [e-mail].