Data Scientist Sales Data Hub (gn) full-time / part-time (hybrid)

You apply and continuously further develop statistical and machine learning models, including regression models, time series analyses, classification, and clustering, to address sales-related use cases such as pipeline forecasting, churn prediction, and lead scoring. You independently design, develop, and own data science and AI solutions in Python and SQL on Azure and Snowflake, covering the full lifecycle from proof of concept to productive models in a sales context. You create new analyses based on large sales data sets and derive clear, actionable recommendations for sales stakeholders. You work closely with data engineers and data analysts on the ongoing development of KPIs, dashboards, and reporting solutions. You translate complex analytical results into tailored, audience-oriented data storytelling. You actively support the assurance of data quality and the validation of model inputs in close alignment with data governance. You proactively identify optimization potential and new AI and analytics use cases within the sales environment.