Data Scientist II

About the role

The Data Scientist II will contribute to the development and improvement of machine learning and deep learning models that interpret high-resolution aerial imagery and solve complex real-world problems. You will work across the model development lifecycle—from data exploration and experimentation to model training, evaluation, and performance analysis.

What you'll do

• Develop, train, evaluate, and improve machine learning and deep learning models using aerial imagery and geospatial datasets
• Design and conduct experiments to evaluate model architectures, training strategies, datasets, and other approaches to improve model performance
• Perform data exploration, preprocessing, and error analysis to identify data quality issues, model limitations, and opportunities for improvement
• Develop computer vision solutions for tasks such as segmentation, depth estimation, object detection, and image classification
• Apply established machine learning practices and technical judgment to solve defined problems with minimal guidance

What you need

• 2–4 yrs of experience
• Machine learning
• Deep learning
• Computer vision
• Python
• AWS
• PyTorch
• Any graduate

Good to have

• MLOps
• TensorFlow
• Git