Data Science Intern, Muon Space

• The ideal candidate has a strong data science foundation, coding experience, and domain knowledge of geospatial data processing
• Muon is looking for self-motivated candidates who are comfortable working with a remote team
• We welcome applicants who are passionate about addressing climate change
• Educational Background: Currently pursuing a degree in Computer Science, Data Science, Engineering, Physics, Mathematics, or a related field
• Strong programming skills in Python
• Comfortable with collaborative coding workflows; specifically, git-managed repositories, pull requests, and cloud-based virtual machine environments
• Experience with data manipulation and analysis using libraries such as pandas, numpy, and scikit-learn
• Knowledge of data visualization tools (e.g., Matplotlib, ipyleaflet, QGIS)
• Analytical Thinking: Ability to approach problems methodically and solve complex data challenges with creative and effective solutions
• Data Experience: Experience working with messy, complicated real-world data
• Communication Skills: Strong written and verbal communication skills, with the ability to clearly explain complex concepts to a diverse audience
• Passion for Climate: A strong interest in addressing climate change through the development of new technology
• This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency

Desirable

• Muon seeks experienced candidates for the position of Data Science intern
• Muon Space is building FireSat, a constellation dedicated to revolutionizing wildfire management and response
• The candidate will work closely with the infrared Data Team to develop processing and analytics for the FireSat mission
• Data Analysis & Processing: Clean, preprocess, and analyze raw data from the FireSat IR camera and simulation to develop exquisite quality data
• Model Development: Assist in building, validating, and deploying analytical and machine learning models to improve data quality and improve derived wildfire products
• Data Visualization: Create visualizations to present findings and insights to both technical and non-technical stakeholders
• Collaboration: Work embedded in the IR Data Team alongside scientists, engineers, and software developers to meet the objectives of the FireSat mission
• Research & Innovation: Contribute to research initiatives aimed at advancing data science methods used by the IR Data Team