Oracle
Position: Data Mining Research Developer Location: Burlington, MA Web: Oracle Data Mining
The Oracle Data Mining Technologies group is responsible for investigating both new and existing data mining techniques and integrating this functionality within the Oracle database engine.DescriptionThis position involves database development incorporating data mining technologies and processes as well as creation of new algorithms and techniques. Work is non-routine and very complex, involving the application of advanced technical/business skills to a variety of problems. Leading contributor individually and as a team member, providing direction and mentoring to others. The position requires solving challenging problems in different domains, more specifically:
Provide technical and scientific expertise in core Data Mining and Knowledge Discovery technologies: Machine Learning, Artificial Intelligence, Multivariate Statistics, and High Performance Computing.
Design, specify, and develop state-of-the-art machine learning/analytical modules for scalable Data Mining engine and applications.
Collaborate with software engineers to integrate these analytical modules into different Oracle products and architectures including the database server.
Represent the company in relevant conferences, workshops, or standard's forums and follow the literature and trends in the academic and commercial communities Some previous projects included:
Creation and implementation of new clustering and classification algorithms as native database technology
Adaptation of existing algorithms (e.g., support vector machines, BLAST, and decision trees) as native database technology
Mining structured, semi-structured (e.g., graphs), and unstructured data
Addressing scalability and parallelization requirements to handle massive datasets
Automation of the data mining process
Expanding the SQL language to natively support data mining
Qualifications
Machine learning or related field background is a MUST
Ph.D. or MS degree in machine learning or related field
Solid software development skills
Experience with time-series, sequence and graph mining is a plus
Experience with bioinformatics is a plus
Ability to adapt to different problem domains and quickly learn new techniques
Competency with C and SQL is desirable
Good communication skills
Self-motivated
How to apply
Applications accepted online only at: irecruitment.oracle.comUse keyword: IRC245959
The Oracle Data Mining Technologies group is responsible for investigating both new and existing data mining techniques and integrating this functionality within the Oracle database engine.DescriptionThis position involves database development incorporating data mining technologies and processes as well as creation of new algorithms and techniques. Work is non-routine and very complex, involving the application of advanced technical/business skills to a variety of problems. Leading contributor individually and as a team member, providing direction and mentoring to others. The position requires solving challenging problems in different domains, more specifically:
Provide technical and scientific expertise in core Data Mining and Knowledge Discovery technologies: Machine Learning, Artificial Intelligence, Multivariate Statistics, and High Performance Computing.
Design, specify, and develop state-of-the-art machine learning/analytical modules for scalable Data Mining engine and applications.
Collaborate with software engineers to integrate these analytical modules into different Oracle products and architectures including the database server.
Represent the company in relevant conferences, workshops, or standard's forums and follow the literature and trends in the academic and commercial communities Some previous projects included:
Creation and implementation of new clustering and classification algorithms as native database technology
Adaptation of existing algorithms (e.g., support vector machines, BLAST, and decision trees) as native database technology
Mining structured, semi-structured (e.g., graphs), and unstructured data
Addressing scalability and parallelization requirements to handle massive datasets
Automation of the data mining process
Expanding the SQL language to natively support data mining
Qualifications
Machine learning or related field background is a MUST
Ph.D. or MS degree in machine learning or related field
Solid software development skills
Experience with time-series, sequence and graph mining is a plus
Experience with bioinformatics is a plus
Ability to adapt to different problem domains and quickly learn new techniques
Competency with C and SQL is desirable
Good communication skills
Self-motivated
How to apply
Applications accepted online only at: irecruitment.oracle.comUse keyword: IRC245959
posted by Peter Wang at
6:43 PM
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