Data Analytics and Predictive Science Lead

Overview Data Analytics and Predictive Science Lead role in São Paulo/SP. Build and lead the Brazilian Data Analytics & Predictive Science team as part of Digital Crop Protection Development to support data-driven product development. Drive data science needs in Crop Protection Development in the areas of statistics, advanced data analytics and predictive modelling across product lines. Contribute to the strategic developments in Product Biology with a focus on Digital across different product lines and in close collaboration with regional counterparts. Influence data strategy at Syngenta and ensure diverse internal and external data sources are connected and integrated to support analysis and modelling. About Syngenta Syngenta is a global leader in agricultural innovation with a presence in more than 90 countries. Syngenta develops technologies and farming practices that empower farmers to feed the world’s population while preserving the planet. Guided by its Sustainability Priorities, Syngenta is developing new technologies and solutions that support farmers to grow healthier plants in healthier soil with a higher yield. Syngenta Crop Protection is headquartered in Basel, Switzerland; Syngenta Seeds is headquartered in the United States. Job Description At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers’ success. To support this mission, Syngenta’s Digital and Data Science Team is seeking a Data Analytics and Predictive Science Lead in São Paulo/SP. This role will be responsible to build and lead the Brazilian Data Analytics & Predictive Science team as part of Digital Crop Protection Development to support successful data driven product development. Drive the data science needs in Crop Protection Development on the areas of statistics, advanced data analytics and predictive modelling in the different product lines. Contribute to the strategic developments in Product Biology with a focus on Digital across different product lines and in close collaboration with regional counterparts. Influence data strategy at Syngenta and ensure diverse internal and external data sources are effectively connected and integrated to support analysis and modelling. Accountabilities Works in multidisciplinary project teams to bring data analytics and modelling skills to development and optimization of crop protection product candidates. In collaboration with the Digital Global Product Biology team and Regional counterparts, champion the Digital Transformation initiatives by driving collaboration efforts on connection points with different parts of R&D and Digital. In collaboration with the Product Biology community and the BITS platform product owners, identify opportunities for standardized improvements on protocol and experimental design, data quality and reporting. Co-develop and enable more effective trialing process. Interacts with product biology managers and other domain experts to understand scientific problems and identify opportunities where the adoption of models will drive value for the business. Works with colleagues in adjacent fields of data analytics and predictive science to investigate interdisciplinary and multiscale modelling approaches to solve fundamental challenges in active ingredient development for crop protection. Provides expertise and guidance to scientists in the design of experiments and field trials for modelling purposes. Drives strategic business initiatives across Crop Protection R&D, e.g., working with physical chemistry, biokinetic and environmental data to model field trials. Merges data from multiple data sources together to prepare them for analysis. Monitors new developments in the field and maintains awareness of modelling approaches taken by other companies, vendors, and academia. Explores new analytical tools, methodologies or approaches to understand their effectiveness and how to deploy them. Qualifications Strong academic foundation in statistics and predictive modelling to postgraduate level or natural science PhD; Knowledge of relevant data-science, analytics and modelling tooling (e.g. Python, R, Matlab, etc.); Scientific domain knowledge in relevant field such as agronomy, biology, chemistry, etc to be able to effectively work with crop protection scientists; Knowledge of model validation, assessing robustness and machine learning techniques applied to biological sciences; Experience in developing models relevant to biological or crop protection outcomes (e.g. epidemiology, pest or disease modelling); Experience in analysing and extracting insights and new understanding from data; Experience in working independently and to a high level of accuracy; Experience of collaborating with scientists and data scientists to solve complex problems; Experience of communicating scientific and data concepts to specialist and non-specialist audiences. Additional Information What We Offer A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs. Full Benefit Package (Medical, Dental & Vision) that starts your first day. Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits. Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Job Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Research Industries: Chemical Manufacturing #J-18808-Ljbffr