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Machine Learning Scientist - Data Science Team, Boston, Up to $150,000-180,000 Overview: We are seeking an experienced Machine Learning Scientist to join a growing Data Science Team within an innovative technology company. This is an exciting opportunity to contribute to cutting-edge projects, work with diverse data sources, and make a real-world impact on environmental intelligence and the geospatial sector. My client is looking for a Machine Learning Scientist to join their exciting business, who use state of the art ML algorithms to fuse data from Earth Observation to provide high quality data and insights and improve nature based solutions. Why Join? Be part of a mission-driven company focused on positive global impact. Collaborate with a team of highly skilled and passionate data scientists, geospatial experts, and engineers. Opportunity to work on challenging and impactful projects using state-of-the-art technologies. Competitive compensation and benefits package. Flexible work environment with hybrid options available. Requirements: Advanced degree in Computer Science, Statistics, Mathematics, or related field. Experience in computer vision and/or deep learning. Proficient in open-source programming languages such as Python or R. Experience using ML libraries such as TensorFlow, PyTorch, etc. Strong communication and collaboration skills. Knowledge of Bayesian methods and time series analytics. What will make you stand out? Experience with geospatial analytics and/or remote sensing data. Experience building and deploying production-grade ML systems. Experience with cloud platforms such as AWS or Azure. This is a really exciting opportunity for a Data Scientist/ML Scientist to join one of the fastest growing geospatial startups in the US who have an amazing work culture and progression plan for employees. This role is paying up to $180,000 + hybrid working in Boston + equity and many other benefits.

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