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# Forward Deployed Principal Data Scientist

- **Company:** SAP LTD.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Data Infrastructure, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Tensorflow, SAP (Applications), SAP NetWeaver Business Warehouse, SAP HANA, SAP NetWeaver Data Management, SQL Databases, Pytorch, AI Platforms, Scikit Learn, Xgboost, SAP S/4HANA, Virtual Agents
- **Published:** August 8, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/forward-deployed-principal-data-scientist-new-york-ny-usa-58854895

## About the Role

aaaav_ results into actionable recommendations * Lead or manage analytical workstreams with milestones, risks, and escalations * Communicate insights to cross-functional and customer stakeholders to influence decisions * Collaborate in a customer-facing, embedded setup to co-develop AI-driven solutions Tasks * 10+ years of expert-level data science and ML experience * Proficiency in Python and SQL; ability to design and optimize end-to-end solutions * Hands-on with ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost * Strong statistics background: hypothesis testing, experimental design, causal inference * Experience with diverse ML techniques: classification, forecasting, clustering, recommendations, anomaly detection * Ability to translate business questions into measurable analytical problems * Experience delivering production-ready analytics on modern data platforms with data quality and governance * Exposure to SAP data landscapes (S/4HANA, BW/4HANA, HANA Cloud) and SAP AI aaa
aaaJ_ * Ability to operate in an Agentic AI context and influence decision-makers through data narratives * Advanced communication and collaboration skills; stakeholder influence Key requirements *

## Description

Experteer Overview In this role you design, develop, and apply advanced data science, statistical, and machine learning methods to solve business-critical problems embedded in customer environments. You translate challenges into rigorous analytical solutions delivered through cross-functional delivery teams. You will work closely with customers to produce scalable, enterprise-grade outcomes that drive measurable value. You are accountable for quality, impact, and robust data-driven solutions aligned with business objectives, while operating in a fast-paced, hybrid setting. Compensation / Benefits * Identify high-value problems and engineer features to unlock data-driven insights * Design, train, and deploy mathematical models and ML solutions for complex business needs * Apply statistical methods including forecasting, causal analysis, and anomaly detection * Integrate analytics into products and processes ensuring enterprise scalability and robustness * Define success metrics and translate results into actionable recommendations * Lead or manage analytical workstreams with milestones, risks, and escalations * Communicate insights to cross-functional and customer stakeholders to influence decisions * Collaborate in a customer-facing, embedded setup to co-develop AI-driven solutions Tasks * 10+ years of expert-level data science and ML experience * Proficiency in Python and SQL; ability to design and optimize end-to-end solutions * Hands-on with ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost * Strong statistics background: hypothesis testing, experimental design, causal inference * Experience with diverse ML techniques: classification, forecasting, clustering, recommendations, anomaly detection * Ability to translate business questions into measurable analytical problems * Experience delivering production-ready analytics on modern data platforms with data quality and governance * Exposure to SAP data landscapes (S/4HANA, BW/4HANA, HANA Cloud) and SAP AI services * Ability to operate in an Agentic AI context and influence decision-makers through data narratives * Advanced communication and collaboration skills; stakeholder influence Key requirements *


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