| Job Opening || Principle Data Scientist (Onsite) Minimum 15+ years Experience || at Pleasanton, California, USA |
| Email: [email protected] |
| From: Vivek, Smartitframe [email protected] Reply to: [email protected] Note: Need local candidates From CA. Role: Principle Data Scientist Location: Pleasanton, CA Experience : 15 Yrs+ Long Term Contract Job summary : We are seeking a highly skilled Principle Data Scientist with 15+ years of experience to join our team. The ideal candidate will have extensive experience in Google BigTable, AWS Machine Learning, Docker, Kubernetes, and MongoDB. This role involves leveraging geospatial data to drive business insights and solutions, contributing to the company's mission of innovation and societal impact. Required Skills: Data Scientist, Google Big Table, Kubernetes, Docker, AWS Machine Learning, MongoDB Roles & Responsibilities : - Lead the development and implementation of geospatial data solutions using Google BigTable and AWS Machine Learning. - Oversee the integration of Docker and Kubernetes for efficient deployment and management of geospatial applications. - Provide expertise in MongoDB for handling large-scale geospatial datasets. - Collaborate with cross-functional teams to design and optimize geospatial data models. - Ensure the accuracy and reliability of geospatial data through rigorous testing and validation. - Develop and maintain documentation for geospatial data processes and workflows. - Implement best practices for data security and privacy in geospatial applications. - Conduct performance tuning and optimization of geospatial data queries and processes. - Mentor junior engineers and provide technical guidance on geospatial data projects. - Stay updated with the latest advancements in geospatial technologies and incorporate them into the companys solutions. - Work closely with stakeholders to understand their geospatial data needs and deliver actionable insights. - Contribute to the development of geospatial data standards and policies within the organization. - Drive innovation by exploring new geospatial data sources and analytical techniques. -Qualifications - Possess a deep understanding of Google BigTable and its application in geospatial data solutions. - Demonstrate proficiency in AWS Machine Learning for geospatial data analysis and modeling. - Have extensive experience with Docker and Kubernetes for containerization and orchestration of geospatial applications. - Show expertise in MongoDB for managing and querying large-scale geospatial datasets. - Exhibit strong problem-solving skills and the ability to work collaboratively in a team environment. - Display excellent communication skills to effectively convey technical concepts to non-technical stakeholders. - Hold a degree in Computer Science, Geospatial Science, or a related field. -- Keywords: California Job Opening || Principle Data Scientist (Onsite) Minimum 15+ years Experience || [email protected] |
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| Wed Jun 26 00:42:00 UTC 2024 |