Forward Deployed Data Scientist Expert

SAP•Stanford, CA

1d•$198,200 - $420,000•Hybrid

About The Position

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 to solve complex real world business problems at speed. You work closely with customers to deliver scalable, enterprise grade outcomes that drive measurable business value for customers and SAP. You are accountable for the quality, impact, and delivery of complex analytical initiatives. Acting as a subject‑matter expert, you provide clear guidance, manage ambiguity, and ensure data‑driven solutions are robust, reliable, and aligned with business objectives.

Requirements

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 (e.g. 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.
Build end‑to‑end data pipelines and ETL/ELT processes
Strong expertise in data modelling, orchestration, and integration across systems
Proficient in Python and SQL
Experience with big data frameworks (PySpark) and Databricks
Use of data orchestration tools (e.g., Airflow)
Hands-on with SAP HANA and enterprise data platforms
Work with columnar/lakehouse formats (Parquet, Delta Lake)
Implement real-time data streaming (Kafka or equivalent)
Ensure data quality, governance, and compliance (PII, data ethics)
Apply CI/CD, Docker, and Git in data engineering workflows
You demonstrate a proactive approach to leveraging AI in everyday workflows, ensuring high‑quality outputs through thoughtful context design and system integration.

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 data mining or 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.
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.

Benefits

Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management.
As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development.
SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity.
SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role.
The targeted annual combined range for this position is 198200-420000(USD).
The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process.
Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance.
Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.