Senior Data Scientist
4 weeks ago
The Opportunity
We are seeking a highly skilled Senior Data Scientist to join our team at Snaphunt. As a key member of our remote sensing team, you will play a crucial role in developing and implementing data-driven solutions for our satellite data analysis 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
Requirements:
- Bachelor's degree in Computer Science, or a related field, and at least 5 years of experience as a Machine Learning Engineer or Data Scientist, with at least 2 years in a leadership role
- Strong proficiency in Python and experience with cloud platforms (AWS)
- Extensive experience with machine learning frameworks and data processing technologies
- Experience with satellite image processing and geospatial data analysis
- Knowledge of carbon accounting principles and environmental reporting standards
- Experience in tech-leading cross-team engineering efforts
- Strong software engineering practices, including debugging/profiling, version control, and system design
- Excellent problem-solving skills and ability to work in a fast-paced, innovative environment
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
About Us:
Snaphunt is a pioneering social impact startup founded in 2018 with the vision of "realizing the coexistence of humanity and the earth." We are committed to addressing global food crisis and climate change challenges through innovative data-driven solutions.
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