Data Scientist/Machine Learning Engineer

We are seeking a Machine Learning Engineer-leaning Data Scientist to join the Wildfire Consequence Modeling team. This role is ideal for someone who can work effectively with academically oriented researchers while bringing a solution architecture and software engineering mindset to model design, implementation, and production grade systems. The team is composed primarily of individuals with academic backgrounds. This role will help balance the group by emphasizing practical problem solving, system design, and scalable machine learning solutions, while still engaging deeply in data science and model development., * Design, develop, and deploy machine learning systems supporting wildfire consequence modeling

• Collaborate closely with academic researchers and data scientists to translate research concepts into production ready models
• Lead or contribute to solution architecture for data and ML workflows, balancing performance, scalability, and maintainability
• Design and implement end to end ML pipelines, including data ingestion, feature engineering, model training, and inference
• Apply strong software engineering principles to machine learning model development
• Support and guide architectural decisions related to cloud infrastructure, tooling, and integrations
• Work hands on with geospatial data and analytics relevant to wildfire modeling
• Partner with the broader data science team to improve model robustness, scalability, and operational readiness

• Professional experience developing and designing machine learning technologies and systems

• Strong Python skills, with experience building production grade data and ML solutions

• Experience with PySpark for large scale data processing

• Experience working on a data science or machine learning team, collaborating with researchers or academics

• Ability to both problem solve analytically and design scalable models and systems

• Comfortable operating as a hybrid Machine Learning Engineer / Data Scientist, * Cloud & Data Platforms: o AWS ecosystem, including SageMaker, S3, Lambda, Glue o And/or experience with Snowflake o And/or Palantir Foundry

• Architecture & Systems: o Solution architecture for data and ML systems o Model pipelines, APIs, and system integrations, * Strong geospatial analytics experience using Python, including tools such as: o rioxarray o GDAL o rasterio o geopandas o dask

• SQL experience supporting geospatial or analytical workloads

• Experience or strong interest in wildfire spread or consequence modeling, * Experience in wildfire modeling, environmental modeling, or risk/consequence modeling

• Background working in applied ML environments where research transitions into production

• Experience mentoring or supporting academic researchers in applied engineering contexts

• Opportunity to balance an academically driven team with practical, solution oriented engineering
• High impact work supporting wildfire risk and consequence analysis
• Strong influence over system design and technical direction
• Blend of data science depth and software engineering rigor

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.