Full-Time Data Scientist (Remote)
Syngenta Group is hiring a remote Full-Time Data Scientist (Remote). The career level for this job opening is Experienced and is accepting Europe based applicants remotely. Read complete job description before applying.
Syngenta Group
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Job Details
Lead data exploration and analytics initiatives by connecting and analyzing diverse data sources to extract valuable insights. Own end-to-end data analytics processes including extraction, processing, analysis, reporting, modeling, deployment, and visualization. Develop and deploy automated data processing pipelines to streamline analysis workflows across multiple data sources. Apply predictive analytics, machine learning, and AI techniques to create innovative solutions that drive business value. Collaborate cross-functionally with stakeholders to deliver cost-effective, stable, and performant data science solutions aligned with business needs.
Accountabilities
- Maintain and enforce data science best practices
- Drive continuous improvement of Data Science methods
- Create documentation and deliver training materials
- Provide technical support and expertise in Data Analytics, Predictive Modeling, Data Science, Machine Learning, and AI
- Transform stakeholder requirements into actionable solutions
- Develop and validate features by consolidating internal/external databases
- Maintain technical excellence through continuous learning
Knowledge, Skills, Education & Experience:
- M.Sc. or Ph.D. in statistics, Applied mathematics, Data Science, Machine Learning, computer sciences, physics, or natural sciences
- Deep expertise in data analytics applied to biology, agronomy, and crop protection, with strong proficiency in Python programming
- Comprehensive knowledge of Big Data technologies, cloud-based ecosystems, and database query languages (SQL)
- Proven expertise in Machine/Deep Learning algorithms and related Python libraries
- Familiar with building and deploying data pipelines
- Proficiency in BI tools (Power BI, Spotfire, Tableau, or Qlik Sense), with emphasis on Power BI
- Strong communication skills in English, with experience working effectively in diverse international teams
- Self-driven professional with strong problem-solving abilities
Other Behaviours Critical for role
Show autonomy, initiative, efficiency, problem solving