Principle Data Scientist

Job title: Principle Data Scientist

Company: Triunity Software

Job description: Role: Principle Data Scientist
Location: Pleasanton – CA (Need locals only)
Nature: Day one On-Site (No exceptions)
Experience: 15+ years
Job Type: Only on W2 Contract (No C2C)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 companys mission of innovation and societal impact.

Required Skills: Data Scientist, Google Big Table, Kubernetes, Docker, AWS Machine Learning, Mongo DBRoles & 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. geospatia- data So-utions.
• 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.

Expected salary: $60 – 65 per hour

Location: San Jose, CA

Job date: Sat, 29 Jun 2024 07:25:15 GMT

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