In this role, the selected candidate will research, develop, and implement advanced algorithms for unique applications in Computational Pathology; primary responsibilities include: Medical imaging algorithm R&D, system design, and software development.
In this role, the successful candidate will manage large amounts of data; merge data sources; ensure consistency of datasets; must be able to handle datasets of multiple types - textual, categorical and numerical.
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 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.
The Associate Scientist Product Development, Energy Curable Technology will be part of the N-EDN/T Product Development team and will be based in Southfield, MI and support the overall success of the Dispersions & Resins business in North America.
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.
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.
In this role, the selected candidate will maintain accurate and complete lab data notebook, communicate precise and accurate results of analyses in accordance with prescribed lab procedures and systems.
In this role, the selected candidate will identify actionable insights, suggest recommendations, and influence the direction of the business by effectively communicating results to cross functional groups.
In this role, the selected candidate will lead the design, implementation, and operation of a state-of-the-art big data analytics approach which is scalable and innovative in the way it extracts, manages and analyzes data.