SAP Data Scientist

Role overview

A data science role centered on extracting insights from SAP and non-SAP datasets to support enterprise decision-making. The position blends statistical analysis, predictive modeling, and visualization, with a strong emphasis on analytics pipelines and AI/ML frameworks that deliver measurable business value.

Responsibilities

- Collect, wrangle, and validate structured and unstructured data from SAP and non-SAP sources - Build and maintain reusable analytics and data pipelines - Develop predictive and prescriptive models using SAP Analytics Cloud Predictive or external ML frameworks integrated with SAP data - Design dashboards, KPIs, and executive-ready visualizations for business stakeholders - Support data reconciliation and KPI validation between source systems and analytics outputs - Collaborate with IT, business analysts, and leadership to implement data-driven solutions - Design and deliver AI/ML-based decision-making frameworks and measure their impact

Requirements

- 5+ years of experience in data science, advanced analytics, or applied data modeling, ideally with SAP data - Proficiency in Python or R, SQL, and common data manipulation libraries - Experience with SAP Analytics Cloud Predictive, SAP BTP AI Core, or integrating SAP data with external ML platforms - Strong foundation in statistics and machine learning with the ability to explain models to non-technical audiences - Solid data preparation and feature engineering skills for large ERP datasets

Nice to have

- SAP BW/4HANA experience - Familiarity with SAP HANA modeling, BW queries, or SAP BTP services - Experience with cloud-based ML platforms such as AWS SageMaker or Azure ML - Background in data governance, data quality frameworks, or production model deployment

Benefits and work setup

- U.S. citizenship required (no dual citizenship) - Must be able to obtain a client Public Trust government clearance - Base pay range varies by location, with a benefits package offered