hackajob is collaborating with Oracle to connect them with exceptional professionals for this role.
Description
Partners with science, engineering, and product experts and leaders to identify strategic business and product needs, and drives and plans the identification of solutions to address product and/or business problems. Leads the design and execution of research programs; surveying state of the art, preparing high-quality datasets, running POCs/experiments, and designing, training, and optimizing ML/AI models and solution architectures. Guides technical teams to deliver and deploy solutions into production, and ensures delivered solutions successfully solve product and/or business problems. Participates in the research community by publishing and presenting research findings and serving as a keynote speaker.
Responsibilities
Key Responsibilities
Solution Identification:
-Partners with science, engineering, and product experts and leaders to establish processes for teams to identify and address strategic business and product needs related to the use of machine learning (ML) and/or artificial intelligence (AI).
-Evaluates the literature and market to understand the difficulty and scope of problems. Leverages understanding and expertise to break down problems for others.
-Sets science quality standards for the Line of Business (LOB), and leads the end-to-end execution of science strategy to address product and/or business problems.
-Drives and plans the identification and prioritization of solutions based on the scientific process (e.g., including modeling approaches, evaluation techniques, data collections).
-Identifies opportunities to apply delivered solutions across product and/or business problems.
Solution Development - Applied Research:
-Ensures research proofs-of-concept (POCs) or research experiments are designed to validate proposed solutions, gather robust supporting evidence, and assess the risks and rewards of solutions. Gains buy-in for applied research.
-Leverages subject matter expertise to establish criteria used to select and prepare datasets for use in applied research. Provides expert review of datasets to ensure high quality data is being leveraged and addresses gaps in the data.
-Leads the design and execution of research programs on new theories, tools, and methodologies to
Description
Partners with science, engineering, and product experts and leaders to identify strategic business and product needs, and drives and plans the identification of solutions to address product and/or business problems. Leads the design and execution of research programs; surveying state of the art, preparing high-quality datasets, running POCs/experiments, and designing, training, and optimizing ML/AI models and solution architectures. Guides technical teams to deliver and deploy solutions into production, and ensures delivered solutions successfully solve product and/or business problems. Participates in the research community by publishing and presenting research findings and serving as a keynote speaker.
Responsibilities
Key Responsibilities
Solution Identification:
-Partners with science, engineering, and product experts and leaders to establish processes for teams to identify and address strategic business and product needs related to the use of machine learning (ML) and/or artificial intelligence (AI).
-Evaluates the literature and market to understand the difficulty and scope of problems. Leverages understanding and expertise to break down problems for others.
-Sets science quality standards for the Line of Business (LOB), and leads the end-to-end execution of science strategy to address product and/or business problems.
-Drives and plans the identification and prioritization of solutions based on the scientific process (e.g., including modeling approaches, evaluation techniques, data collections).
-Identifies opportunities to apply delivered solutions across product and/or business problems.
Solution Development - Applied Research:
-Ensures research proofs-of-concept (POCs) or research experiments are designed to validate proposed solutions, gather robust supporting evidence, and assess the risks and rewards of solutions. Gains buy-in for applied research.
-Leverages subject matter expertise to establish criteria used to select and prepare datasets for use in applied research. Provides expert review of datasets to ensure high quality data is being leveraged and addresses gaps in the data.
-Leads the design and execution of research programs on new theories, tools, and methodologies to
Lead Principal Applied Scientist in remote at Unknown Company
This position is listed as full time and onsite.