Principle Data Scientist San Jose, CA

Principle Data Scientist

Full Time • San Jose, CA
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 DB

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. 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.
Compensation: $60.00 - $65.00 per hour




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