Data Scientist 1

At Mati Carbon, we are building data-driven systems at the intersection of climate science, agriculture, and machine learning. Our work focuses on solving real-world problems in sustainable agriculture using geospatial intelligence, statistical modeling, and scalable data systems.

We are looking for a Data Scientist who is highly analytical, fast at reasoning through complex problems, and excited about working on research-oriented machine learning challenges in an applied setting.

This is an in-office role for candidates who want to work closely with data, models, and real-world systems.

What You'll Work On

• Applied machine learning and statistical modeling on real-world datasets

• Geospatial and remote sensing–driven data analysis

• Building predictive models for agricultural and climate-related systems

• Experimentation, hypothesis testing, and evaluation of model performance

• Working with noisy, incomplete, and real-world operational data

• Designing and improving data pipelines and analytical workflows

• Collaborating with cross-functional teams on data-driven decision systems

What We're Looking For

• 1 to 2 Years of experience

• Strong analytical thinking and problem-solving ability

• Fast learner with the ability to work in ambiguous problem spaces

• Solid foundation in statistics, machine learning, and data analysis

• Strong Python programming skills

• Familiarity with common DS/ML tools (pandas, scikit-learn, etc.)

• Ability to reason about real-world data complexity and edge cases

• Strong ownership mindset and ability to work independently

Additional Strong Signal (Important)

• Ability to effectively build with coding agents (AI-assisted development tools) to accelerate experimentation, prototyping, and analysis

• Comfort working in modern AI-assisted development workflows