In this role, you will direct the planning of and conducts field, insectary and greenhouse biological research trials, including trial initiation, data collection, data analysis, and report preparation.
In this role, the selected candidate will be responsible for providing the data support for enterprise data integration tasks, including ingestion, standardization, enrichment, mastering and assembly of data products for downstream applications.
The Analytics Research and Development team within the clients Global Data, Insight and Analytics (GDIA) organization is looking for a highly skilled quantitative analyst / data scientist to assist in all levels of model development, evaluation, and deployment.
In this role, you will be responsible to coordinate and work on specialized environmental projects and environmental site assessments (Phase I and II ESAs, BEAs), environmental compliance and monitoring programs, and regulatory approval compliance for industrial facilities.
In this role, you will Help to build business strategy by providing thought leadership on technology, research, agricultural trends and practices that can be applied to synthetic and natural consumer gardening control products.
In this role, the selected candidate will lead and conduct sound, professional biological research and summarize results into research reports, position papers, etc. to deliver project deliverables such as new products, new product label claims and cost savings per established timelines.
In this role, the selected candidate will develop the analytics for the enterprise software application in collaboration with software developers, translating theory and prototype methods and software into commercial grade software meeting client requirements.
As a Data Scientist youll be responsible for creating and designing new reports independently based on anticipated future needs. Experience in predictive analysis and modeling is required. Will utilize advanced statistical, mathematical and predictive modeling as well as business strategy skills to build algorithms.
The Data Scientist is responsible for litigation analysis, benchmarking of product liability claims, plaintiffs attorneys, and defense attorneys, and identifying emerging vehicle issues within the privileged legal database.
This is a unique opportunity to get in on the ground floorof a new multi-disciplined team of experienced individuals who will be drivingthe solution design, development, and deployment of advanced artificial intelligence/machine learning solutions supporting the companys autonomousvehicle program and other applications.