Principle Data Scientist

at  Triunity Software

San Jose, CA 95131, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate27 Sep, 2024USD 65 Hourly27 Jun, 202415 year(s) or aboveOrchestration,Data Solutions,Communication Skills,Containerization,Computer Science,Mongodb,Data Analysis,Kubernetes,Docker,Machine Learning,ModelingNoNo
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Description:

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

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.

Responsibilities:

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.


REQUIREMENT SUMMARY

Min:15.0Max:20.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Computer Science

Proficient

1

San Jose, CA 95131, USA