Principle Data Scientist
at Triunity Software
San Jose, CA 95131, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 27 Sep, 2024 | USD 65 Hourly | 27 Jun, 2024 | 15 year(s) or above | Orchestration,Data Solutions,Communication Skills,Containerization,Computer Science,Mongodb,Data Analysis,Kubernetes,Docker,Machine Learning,Modeling | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
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