As a Senior Data Scientist, you will play a crucial role in contributing to smoke test experiments, experimenting with sensor deployments on-site, and developing ETL pipelines to streamline experiment data for AI models processing. Your main focus will be on developing smoke recognition models and forest health prediction models to aid in early fire detection and forest management. Additionally, you will work on forest fire prediction models to enhance the sensor-based approach.
The company is seeking a candidate with a Master’s or PhD degree in Data Science, Statistics, Computer Science, Mathematics, or a related field, along with 5+ years of experience in data science. Proficiency in Python, strong experience with machine learning frameworks such as TensorFlow and PyTorch, and expertise in modeling tabular data and advanced data analysis techniques are essential. Experience with end-to-end ML pipeline tooling and excellent communication skills are also required.
Qualities/skills that the company hiring are looking for
Master’s or PhD degree in a relevant field
5+ years of experience in data science
Proficiency in Python
Strong experience with machine learning frameworks
Expertise in modeling tabular data and advanced data analysis techniques
Experience with end-to-end ML pipeline tooling
Excellent communication and presentation skills
Ability to work independently and as part of a team
What the company hiring is offering
In this role, you will have the opportunity to contribute to protecting the world’s forests and mitigating the effects of climate change. You will also have the chance to influence the design and development of a cutting-edge sensor-based forest fire detection system. Working in a small, experienced team, you will be constantly challenged to learn and grow, with competitive compensation offered.
This position is ideal for a confident self-starter who is eager to collaborate with others and take initiative. The company encourages individuals of all backgrounds to apply, as they aim to build a diverse and inclusive team.