Description
You will lead the development of a suite of data products using AI and machine learning to help organizations extract insights from satellite, remote sensing, and other data sources.
Responsibilities
- Manage and oversee the growth of the IAAS portfolio.
- Co-lead product ideation and business development processes.
- Lead the end-to-end data analytics process, from acquisition and transformation to analysis and visualization.
- Design and implement data acquisition strategies for geospatial and other spatial sources.
- Develop and maintain scalable data pipelines and ETL processes for large datasets.
- Support spatial database administration, including GIS servers, ArcSDE, and GIS web services.
- Contribute to the development of data standards to ensure consistent collection and use.
Required Skills
- 5 years of experience in data analytics or a related field.
- Expertise in Data Science and statistical analysis.
- Proficiency with machine learning algorithms and statistical techniques.
- Hands-on experience with GIS and analyzing geospatial data.
- Ability to analyze complex datasets.
- Experience managing the full data lifecycle from acquisition to visualization.
- Master's degree in Data Science, GIS, Statistics, Computer Science, or a related discipline.
Education
Master's degree in a relevant field such as Data Science, GIS, Statistics, Computer Science, or a related discipline.