Aarden is seeking a Data and Applied Scientist to join our early-stage team and play a pivotal role. We're a small but well-funded AI-first company helping institutional capital optimize land assets.

As a Data and Applied Scientist at Aarden, you will have the unique opportunity to shape our data and AI strategy from the ground up. You will be responsible for building and deploying ML and AI models, creating foundational data pipelines, and designing data and AI products directly for customers. You'll work closely with the entire founding team to translate complex data into tangible impact. Ideally you will have experience with forecasting, optimizing portfolios and/or working with institutional investors. Bonus points for experience working with agriculture, forestry or geospatial data.

Who We Are:

We are transforming the way land is valued and utilized.

• It's a $3T asset in the US alone, and institutional capital is flocking to land faster than any other asset class.
• There is growing demand for land to support energy, housing, manufacturing, and conservation.
• Land use is responsible for 17% of global CO2 emissions, making it the second largest source after energy.

Our team is experienced, motivated, and moving extremely quickly. We are looking for a teammate to increase our velocity by complementing our existing strengths.

Responsibilities:

• Design, develop, and deploy AI and machine learning models to address key business problems.
• Explore, clean, and transform large and complex datasets from various sources.
• Collaborate with engineers to build and maintain scalable data pipelines and infrastructure.
• Communicate findings and recommendations clearly and effectively to both technical and non-technical audiences.
• Contribute to the development of our data science best practices and methodologies.

You Will Bring:

• Strong proficiency in Python and relevant data science libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Ability to work with large datasets and cloud computing platforms (e.g., AWS, Google Cloud, Azure).
• Excellent problem-solving and analytical skills with a strong attention to detail.
• Ability to communicate technical concepts effectively to diverse audiences.
• A proactive and self-motivated approach with a desire to learn and grow in a fast-paced startup environment.
• Experience and ability to grow with the evolving AI landscape. This includes
• Experience using foundation models in the cloud
• Implementing agentic workflows

Bonus Points For:

• Experience in an early-stage startup environment
• significant forecasting and portfolio optimization experience
• Background in agriculture or forestry
• Knowledge of geospatial data

What We Offer:

• The opportunity to make a significant impact in a rapidly growing company.
• A collaborative and passionate work environment.
• Strong health benefits package

Salary Range:

$ 125K to $ 190K plus early employee equity

To Apply:

Seattle, WA based applicants strongly preferred, but exceptional candidates (e.g., someone with Geospatial and Financial Modeling experience) are invited to reach out.