
Data Scientist Leader
Há 4 dias
Our team is looking for a skilled professional to lead data analytics and predictive science efforts in Brazil. The successful candidate will oversee the Brazilian Data Analytics & Predictive Science team, driving data science needs across product lines.
About the RoleThis senior-level position involves building and leading a team that supports data-driven product development. We are seeking an individual with a strong academic foundation in statistics and predictive modelling, as well as knowledge of relevant data-science, analytics, and modelling tooling.
Key Responsibilities:- Work collaboratively with multidisciplinary project teams to bring data analytics and modelling skills to development and optimization of crop protection product candidates.
- Drive collaboration efforts on connection points with different parts of R&D and Digital.
- Identify opportunities for standardized improvements on protocol and experimental design, data quality, and reporting.
- Interact 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.
- Investigate interdisciplinary and multiscale modelling approaches to solve fundamental challenges in active ingredient development for crop protection.
- 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).
- Scientific domain knowledge in relevant field such as agronomy, biology, chemistry.
- Experience in developing models relevant to biological or crop protection outcomes.
- 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.
- A culture that celebrates diversity and inclusion, promotes professional development, and strives for a work-life balance.
- Full benefit package that includes medical, dental, and vision benefits.
- Paid vacation, paid holidays, maternity and paternity leave, education assistance, wellness programs, corporate discounts, and more.
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