Head of Data Science

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Company Information

Muir AI is an early-stage startup building a talented team passionate about solving the world’s biggest problem: climate change. We aim to make an impact at the gigaton scale – truly changing the course of the world’s climate. 

To do this, we’re developing the intelligence engine for carbon and emissions. Using state-of-the-art AI and ML, we’re fusing data from numerous sources to bring an unprecedented capability to analyze and predict the planet’s carbon emissions. We work directly with companies to accurately measure their emissions, track land use patterns in their supply chains, identify reduction and insetting opportunities, and provide risk assessments of nature-based solutions for offsetting. Muir will enable companies to take actionable, real steps to reach their net-zero goals.

We’re seeking people who bring an innovative and agile approach to their work, love tackling complex challenges head-on, and are ready to make a real difference for our world.

Role description

As the Head of Data Science, you will lead the implementation of cutting-edge machine learning, AI, and mathematical techniques that analyze and predict carbon emissions from human activity, the underpinning of Muir’s products. Further, you will work directly with the CTO to build a team of data scientists and machine learning engineers. The role includes developing data pipelines and strategies, designing and implementing models, justifying results, and deploying them across the company’s products. Beyond these critical responsibilities, you will also be influential in shaping the norms and culture of the engineering team and company writ large.

Responsibilities

  • Lead development of world-class data analysis products that provide unprecedented insight into nature’s current and future carbon stocks.
  • Build the architecture for data management, modeling, and deployment.
  • Implement state-of-the-art machine learning methods that fuse data from disparate sources into clear outputs.
  • Collaborate with data and software engineers to deploy models across Muir’s products.
  • Deeply understand the needs of medium to large enterprise customers and tailor solutions to meet and exceed these needs.
  • As the first engineering hire, be able to wear many hats, help develop across the data and product lifecycle, and play a role in maturing and instilling Muir’s culture.

Qualifications

  • 7+ years of data analysis/machine learning experience.
  • 3+ years of building and working with fused sensor datasets, e.g., in autonomous systems, remote sensing, geospatial data, or similar.
  • Proven experience deploying machine learning models for large, complex tasks.
  • Knowledge of data management and visualization techniques.
  • Strong statistical analysis and predictive modeling skills.
  • Strong organizational, leadership, and communication skills.
  • Flexibility and a level of comfort with early-stage ambiguity. Bias for action and the ability to iterate are critical.
  • BS in computer science, data science, mathematics, or similar field; MS preferred but not required.
  • Based in Seattle or willing to relocate to Seattle within the next 6 months.

We are an equal opportunity employer and highly value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Apply now

Interested applicants should include a resume and cover letter.