Senior Data Scientist (Remote Sensing)

-Exciting opportunity with a pioneering social impact startup utilizing satellite data and AI to address global food crisis and climate change challenges.
-Be part of a passionate team creating a significant societal impact by tackling diverse, impactful challenges
The Job
Our client is a pioneering social impact startup founded in 2018 with the vision of "realizing the coexistence of humanity and the earth.
Our client is looking for a Senior Data Scientist with expertise in remote sensing and satellite data analysis. The ideal candidate will have a strong background in machine learning, data analytics, and environmental science, and will play a key role in developing and implementing data-driven solutions for our remote sensing projects.
Key Responsibilities:
Develop and implement advanced machine learning models and algorithms for satellite data analysis
Process and analyze large-scale remote sensing data to extract meaningful insights
Collaborate with cross-functional teams to design and execute data-driven projects
Develop and maintain data processing pipelines for satellite imagery and other remote-sensing data
Conduct research and stay updated with the latest advancements in remote sensing and data science
Communicate findings and insights to stakeholders through detailed reports and presentations
Mentor junior data scientists and contribute to the growth of the data science team
Ideal Candidate
You possess a Bachelor 's degree in Computer Science, or a related field, and have at least 5 years of experience as a Machine Learning Engineer or Data Scientist, with at least 2 years in a leadership role
You have strong proficiency in Python and experience with cloud platforms (AWS)
You have extensive experience with machine learning frameworks and data processing technologies
You have experience with satellite image processing and geospatial data analysis
You have knowledge of carbon accounting principles and environmental reporting standards
You have experience in tech-leading cross-team engineering efforts
You have strong software engineering practices, including debugging/profiling, version control, and system design
You have excellent problem-solving skills and ability to work in a fast-paced, innovative environment
Experience with or understanding of satellite-based remote sensing and agriculture is a plus
Knowledge of microservices architecture and experience with database systems (RDBMS/NoSQL) is a plus
Familiarity with monitoring systems, logging, operations, and SLO/SLA concepts is a plus
Experience working in AgriTech or environmental sustainability sectors is a plus
Our Tech Stack:
Languages: Python, TypeScript
Machine Learning: TensorFlow, PyTorch
Cloud: AWS (EC2, EKS, S3, SageMaker, etc.)
Version Control: Git, GitHub
Project Management: JIRA
Communication Tools: Slack, Notion