Forward Deployed Principal Data Scientist

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 *

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 *