IBM Corporation is looking to solve complex business problems across industries such as energy and utilities, manufacturing, government, forestry and agriculture, consumer products, retail, insurance, and financial services using AI-powered solutions.
Requirements
- Master’s degree or equivalent in Data Science, Computer Science, Statistics or related
- One (1) year of experience as a Senior Data Scientist or related
- One (1) year of experience must include utilizing GDAL, PDAL, Laspy, Quantum Geographic Information System (QGIS tool), MMSegmentation, Terratorch, Physiological Process Predicting Growth (3-PG)
- GDAL
- PDAL
- Laspy
- Quantum Geographic Information System (QGIS tool)
Responsibilities
- Build AI-powered solutions using one or more AI agents to address complex business problems.
- Architect and automate the AI solution pipeline, including data processing, model fine-tuning, inferencing, and integrating models with feedback loops.
- Design solutions for various use cases such as regulatory compliance related to deforestation-free products, wildfire risk assessment in powerline corridors, flood risk evaluation, and agroforestry risk indexing.
- Leverage diverse environmental datasets such as satellite imagery, Lidar, and weather data, along with internal or client-specific datasets, to develop comprehensive AI models.
- Develop and refine AI models and solutions through rapid prototyping, incorporating feedback from stakeholders to ensure alignment with client needs.
- Conduct testing, deployment, and performance evaluation of AI solutions in initial rollouts.
- Utilize: GDAL, PDAL, Laspy, Quantum Geographic Information System (QGIS tool), MMSegmentation, Terratorch, Physiological Process Predicting Growth (3-PG).
Other
- Master’s degree or equivalent in Data Science, Computer Science, Statistics or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree)
- One (1) year of experience as a Senior Data Scientist or related
- Collaborate with cross-functional teams including clients, product managers, engineers, software developers, and junior data scientists to gather requirements and deliver scalable solutions.
- Mentor and enable junior data scientists in model training techniques and tools.
- Full time
