Data scientist [seeds] – Uberlândia/MG or São Paulo/SP

Efetivo (CLT)

Responsabilities

Participation in the development and implementation of global environmental characterization and modeling tools to support product advancement and placement
Collaborate with regional business and technical stakeholders to drive a data and insight-driven trialing network and product placement strategy
Knowledge transfer across technical teams, increasing data science fluency within the organization
Data visualizations to deliver your results and drive business insights, using dashboards and visual analytics tools, such as Power BI, Tableau, R-Shiny, or Qlik Sense.
Cloud-native model deployment using services such as AWS SageMaker, Azure ML, or GCP Vertex AI.
Well-documented APIs and microservices for consumption and integration of machine learning outputs.
Clear technical documentation and reproducible workflows to support research and cross-team collaboration.
Performance reports and continuous improvement recommendations based on model evaluation and business feedback.
Effective business storytelling: translate complex analytical results into strategic insights for leadership and functional teams.
Project impact evaluations to prioritize initiatives and allocate resources efficiently.

Bachelor’s degree in agronomy, statistics, biotechnology, science and technology, computer science, computer engineering, or related fields.
Master’s or PhD (preferred) in genetics, quantitative genetics, plant breeding, statistics, bioinformatics, data science or another relevant scientific field.
Technical Skills:
- Solid experience in at least one of the following: environmental modelling, machine learning for environmental prediction, quantitative genetics, linear mixed models.
- Proficient in Python and/or R, experience in ML frameworks is desired. Software version control and best practices using Git is a must.
- Solid understanding of SQL/NoSQL databases and data engineering principles.
- Hands-on experience with cloud platforms (AWS, Azure, GCP).
- Experience using of visualization tools: R Shiny, Power BI, Tableau, Qlik Sense.