Role overview
We are seeking a Senior Data Scientist, Cross-Domain AI to drive advanced analytics and predictive modeling across a complex, data‑rich environment supporting AI‑enabled and autonomous systems. This role focuses on transforming large, heterogeneous datasets into actionable insights and production‑quality models that inform both machine learning development and executive decision‑making.
The ideal candidate combines rigorous statistical methodology with strong engineering discipline, building robust analytical pipelines and continuously improving models through feedback‑driven training and operational data.
What you'll work on
- Perform exploratory data analysis, data cleaning, and data preparation across diverse and complex datasets
- Transform raw, messy, and heterogeneous data (e.g., sensor, telemetry, operational, and production data) into analysis‑ready and ML‑ready formats
- Build predictive and statistical models, including physics‑informed and constraint‑based machine learning approaches
- Design feature engineering frameworks and state‑space representations for reinforcement learning and optimization use cases
- Develop recursive and online training pipelines that continuously retrain and refine models as new data becomes available
- Apply time‑series analysis techniques to identify trends, anomalies, and leading indicators in operational data
- Implement MLOps best practices, including experiment tracking, model versioning, automated validation, and production monitoring
- Build production‑quality analytical pipelines using Python and SQL with robust validation and testing
- Develop causal and statistical models linking process inputs to performance outcomes
- Create analytics, dashboards, and visualizations that translate complex findings into executive‑ready insights
- Collaborate cross‑functionally with engineering, operations, and product teams to support data‑driven decision‑making
*Qualifications
Education**
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Physics, Engineering, or a related quantitative field
- Equivalent practical experience will be considered
What we're looking for
- Ability to work in a standard office or remote environment
- Ability to use a computer for extended periods
- Ability to participate in meetings and collaborative working sessions
This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands.
AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.