Data Scientist - Genetic Evaluation & Breeding Analytics

The Data Scientist is responsible for the reliable operation, development, quality assurance, and continuous improvement of genetic evaluation systems and breeding analytics.

The role combines large-scale data management, statistical analysis, software development, and genetic-model support to deliver accurate, timely, and trustedgenetic evaluations for swine breeding programs.

Working closely with genetics, breeding IT, data, and product-excellence colleagues,the Data Scientist turns complex pedigree, genomic, and performance data into robust operational processes, quality insights, and decision-support tools.

• Maintain and operate production genetic evaluation systems.
• Run, monitor, and troubleshoot routine genetic evaluation processes, including the weekly index.
• Ensure reliable and timely execution of weekly geneticevaluations.
• Support continuous improvement of evaluation workflows, methods,and operational controls.

• Develop, maintain, document, and optimize routinedata-processing pipelines.
• Manage and control large-scale exchanges of database, DNA,pedigree, and performance information.
• Build robust validation, monitoring, and exception-handling into production workflows.
• Ensure data integrity, traceability, reproducibility, and appropriate access throughout the evaluation process.

• Perform quality assurance of weekly genetic evaluations and investigate unexpected results.
• Develop and maintain weekly and monthly data-quality reports andvisualizations.
• Create programs and controls for data-quality assessment,process monitoring, and anomaly detection.
• Communicate quality issues, root causes, risks, and recommended corrective actions to relevant stakeholders.

• Conduct data investigations and statistical analyses usingbreeding, genomic, and production data.
• Contribute to the development, validation, testing, and implementation of genetic models.
• Develop software, algorithms, and reporting tools supportinggenetic breeding control.
• Translate analytical findings into practical recommendations forgenetics and breeding teams.

• Collaborate with breeding, quantitative genetics, Product Excellence, IT, and data-management teams.
• Provide technical support for recurring evaluations, data interfaces, and decision-support processes.
• Document systems, pipelines, controls, and operating procedures to support continuity and knowledge transfer.
• Participate in cross-functional projects and, where required,travel to company sites or partner locations.