Data Scientist , Leo Customer Terminal

What you'll do

• Develop statistical tools and scalable visualizations to analyze terminal performance and support regression decisions using on-orbit and lab measurements.
• Create and manage datasets for continued pre-training and supervised fine-tuning of LLMs.
• Work with engineering teams to root-cause failures, communicate insights, and align on metrics and analysis approaches.

What they ask for

• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.
• Bachelor’s degree in electrical engineering, physics, mathematics, or an equivalent field.
• 3+ years of experience with data querying or scripting languages, or statistical/mathematical software.
• 3+ years of experience with machine learning/statistical modeling and data analysis, plus experience conducting and documenting trade studies and design trades.

Nice to have

• Experience implementing algorithms using toolkits and self-developed code; publications at top-tier peer-reviewed conferences or journals.
• Master's or PhD degree in a relevant field; experience in satellite constellation design, mobility satellite terminals, or phased array designs and implementations.

Pay

136,000.00 - 184,000.00 USD annually (base salary)

Tools

SQL, Oracle, Python, R, SAS, Matlab

AI focus

Develop machine-learning and statistical models to identify potential user-terminal failures; create and manage datasets for continued pre-training and supervised fine-tuning of LLMs.