Data Scientist II

About the role

You will work across the model development lifecycle—from data exploration and experimentation to model training, evaluation, and performance analysis. Working with senior data scientists and cross-functional partners, you will develop solutions to well-defined problems and execute project deliverables with minimal coaching.

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
• Python
• Deep learning
• Computer vision
• AWS
• MLOps
• Any graduate

Good to have

• PyTorch
• TensorFlow
• Git
• IPR