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Senior Data Scientist - Digital Farming

Yara International
On-site

About this role

Area of Expertise Digital Farming

Work mode (place) On site

Job Requisition ID 25511

We at Yara are part of a global network, collaborating to profitably and responsibly solve some of the world's key challenges - resource scarcity, food insecurity and environmental change.

Responsibilities

  • Strategic Problem Definition & Analysis Leadership

  • Lead the definition and refinement of complex business problems from a technical and strategic data perspective, ensuring alignment with organizational goals and long-term strategic objectives

  • Conduct comprehensive stakeholder analysis to understand underlying business needs and translate them into sophisticated analytical frameworks

  • Advanced Technical Implementation & Development

  • An Individual Contributor producing data analysis, calls, and requirements production (SQL, Python, Metabase, PowerBI, etc.) while maintaining world-class technical standards and driving innovation in analytical methodologies

  • Architect and implement complex data models, algorithms and analytical frameworks that support enterprise-level decision making

  • Stakeholder Management & Strategic Alignment

  • Independently drive the alignment of business requirements with executive stakeholders, defining advanced metrics, and architecting comprehensive business intelligence solutions (e.g., interactive dashboards, predictive reports) to fulfill strategic objectives.

  • Expertly communicate and make stories out of complex results and strategic insights to diverse stakeholder, including senior leadership, influencing data-driven decision-making across the organization .

  • Collaborate strategically with data engineering, development, and product teams to define requirements for advanced analytics & insights tooling, ensuring data infrastructure supports future analytical needs.

  • Clearly communicate business requirements and analytical insights to stakeholders, defining scope, deliverables, and potential impacts.

  • Proactively define project workstreams and data solutions by directly collaborating with other teams

  • Establish and maintain strong relationship with C-Level Executives to ensure analytical initiatives s

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