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Über
Digital Technology Data Scientist Lead
to join a high-impact Data Science Center of Excellence. This is an
individual contributor role
designed for a technically strong, business-savvy data scientist who thrives at the intersection of analytics, engineering, and stakeholder engagement. You will not only build advanced models—you will
partner directly with business leaders , translate complex requirements into scalable solutions, and clearly communicate insights that influence strategic decisions. This role requires someone who can: Gather and translate business requirements into analytical solutions Build and deploy predictive models Tell compelling stories with data Mentor peers and elevate best practices Operate comfortably in a collaborative, cross-functional environment This is
not a heads-down technical role —you will be highly visible and embedded in business conversations. Key Responsibilities Advanced Analytics & Model Development Analyze structured and unstructured datasets to identify trends and actionable insights Develop and deploy predictive models and machine learning algorithms Integrate models into enterprise systems or build new digital capabilities Drive data quality improvement and resolve data-related incidents Business Engagement & Communication Partner with supply chain, operations, engineering, and other business teams Translate business challenges into scalable data science solutions Present findings clearly to both technical and non-technical stakeholders Demonstrate measurable business impact from implemented solutions Leadership & Collaboration Lead complex data science initiatives from concept through deployment Mentor team members on modeling, analytics best practices, and emerging technologies Contribute to the enterprise data science strategic roadmap Support a Center of Excellence culture across the organization Required Technical Skills Strong proficiency in
Python
(primary), R, or C Experience with
Azure Databricks , Spark Experience with
Power BI
and advanced Excel (pivot tables, analysis) Machine learning, statistical modeling, and predictive analytics expertise Experience working with both structured and unstructured data Ability to deploy and integrate models into enterprise systems Preferred Skills Expertise in Microsoft
Power Platform Familiarity with LLMs (open or closed models) Experience with RAG architecture Front-end web application development (Flask, Gradio, etc.) Master’s or Ph.D. in a relevant field Required Experience B.S. with 5+ years of relevant experience OR M.S. with 3+ years of relevant experience
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.