Sr. Data Scientist (Supply Chain / Carbon)

Company information

Muir AI is an early-stage startup on a mission to solve the world’s biggest problem: climate change. Our goal is to catalyze global emissions reductions at the gigaton scale – truly changing the course of the world’s climate.

To do this, we’re developing the climate intelligence engine for carbon emissions. By harnessing the latest AI and ML technologies, we’re fusing data from a diverse set of sources to gain unprecedented insights into corporate emissions. We empower companies to measure, track, and proactively reduce emissions across their supply chains, more rapidly, affordably and effectively than before. Using Muir’s outputs, companies take tangible steps towards confidently achieving their net-zero ambitions.

Are you someone who thrives on innovation, embraces complex challenges, and hungers to make a real difference for our world? If so, we’re looking for brilliant builders to join us in shaping the narrative of our planet’s future.

Role description

As a Sr. Data Scientist, you will lead the implementation of cutting-edge machine learning, AI, graph, and network models to analyze and evaluate corporate supply chains, enabling Muir’s core services to more accurately and rapidly assess supply chain emissions and identify reductions. The role includes understanding and working deeply with supply chain data, developing data pipelines and strategies, designing and implementing models, justifying results, and deploying across Muir’s services. You will work with the CTO to build a team of data scientists and machine learning engineers, helping shape the future of the engineering team and company writ large.

Responsibilities

Lead the design and development of stochastic and deterministic supply chain models that power Muir’s core services.
Build the architecture for data management, modeling, and deployment.
Research and implement pertinent modeling and analysis techniques for supply chain modeling.
Collaborate with data, software and product engineers to deploy models across the Muir Intelligence Platform’s services.
Deeply understand the needs of medium-to-large enterprise customers and tailor solutions to meet and exceed these needs.
As an early engineering hire, be able to wear many hats, help develop across the data and product lifecycle

Qualifications

Proven experience building and deploying data analysis / machine learning models for large, complex tasks.
Deep knowledge of supply chain, trade, and logistics data, and experience developing models in this space.
Strong statistical analysis and predictive modeling skills,
Exceptional organizational, leadership, and communication skills.
Flexibility and a level of comfort with early-stage ambiguity.
Bias for action and ability to iterate are critical.
Based in or willing to relocate to the Seattle area.

Pay transparency

Muir believes that pay transparency is an important aspect of a fair hiring process. As such, we have included the following range which a candidate’s offered salary for this role will fall within. The range has been determined from market averages from similar positions at companies of similar sizes, stages and geographies. Final salary compensation within this band will be determined by the skills and experience of the candidate.

Base salary range: $140,000 - $180,000

In addition to base salary, Muir provides equity in the company as compensation. As we grow and have success, we want that success to be shared with our employees who help build our company. Defining an equity offer upfront is tricky, so we will share exact percentage details with candidates who advance to later stages of the interview process.

Apply now

Please provide a CV and cover letter when applying.

Don’t meet every single requirement listed above? That's ok. If you’re excited about this role and our mission, but your experience doesn’t align perfectly, we encourage you to apply anyways. You may be the right candidate for this or other roles at Muir.