About the job
We are looking for an experienced Data Scientist to help architect state-of-the-art test infrastructure and lead the development of data models and analysis tools to represent the ground truth about satellite test results in order to facilitate important business decisions. Our team is responsible for core infrastructure and tools that will serve as the backbone of automated satellite testing operations to enable rapid scaling of manufacturing processes.
Responsibilities
Work with engineering, software and manufacturing teams to understand drivers, impacts, and key influences on satellite performance
Lead the design, build and implementation of production models and make decisions in real time for satellite test results
Drive actions at scale to optimize test methodology and drive increases to satellite reliability
Analysis and modeling of satellite telemetry from test results in lab and on-orbit
Develop models and data pipelines for satellite telemetry
Create and manage datasets for continued pre-training and supervised fine-tuning of LLMs
Develop scalable visualizations for analysis of satellite performance
Qualifications
Minimum
2+ years of data scientist experience
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
1+ years of working with or evaluating AI systems experience
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
Experience applying theoretical models in an applied environment
Preferred
Knowledge of machine learning concepts and their application to reasoning and problem-solving
Experience in Python, Perl, or another scripting language
Experience in a ML or data scientist role with a large technology company
Experience in defining and creating benchmarks for assessing GenAI model performance
Experience working on multi-team, cross-disciplinary projects
Experience applying quantitative analysis to solve business problems and making data-driven business decisions
Experience effectively communicating complex concepts through written and verbal communication