AI​/ML Data Scientist

We are seeking a Data Scientist to support advanced aerospace and geospatial analytics initiatives in Los Angeles. These roles require expertise in AI/ML, LLM prompt engineering, satellite or telemetry data analysis, and mission-oriented mapping models. Candidates must be able to work in secure environments and contribute to innovative, future-focused solutions.

U.S. citizenship is required, and a U.S. government security clearance will be required upon hire.

Onsite - Los Angeles Air Force Base, Los Angeles, CA

Full-time, 40 hours per week (Occasional flexibility based on secure project schedules)

$80.00 - $85.00

• Paid sick leave based on state regulations after 90 days of employment
• Medical, dental, and vision coverage after a waiting period (60% paid by Fortuna)
• Free Tele Medicine and Mental Health support for all employees and their families
• Additional voluntary benefits:
  Group Life Insurance, Accidental Insurance, Critical Care, Short-Term Disability

• Build, train, and optimize AI/ML models—including LLMs and generative AI—for aerospace, geospatial, mission-mapping, or telemetry-driven analytics.
• Analyze classified or sensitive datasets such as satellite imagery, spaceflight telemetry, mission simulation outputs, or GN&C system logs.
• Develop algorithms to support predictive modeling, anomaly detection, mission planning, navigation modeling, or "future mapping" analytics.
• Translate engineering and mission requirements into scalable data science solutions tailored to secure environments.
• Design data ingestion pipelines and ML workflows for use within secure, on-premise, or cloud environments that meet federal security controls.
• Work collaboratively with aerospace engineers, mission analysts, and security stakeholders to ensure accuracy, reliability, and compliance.
• Produce clear documentation and technical reports required for government audits, security reviews, and program deliverables.
• Maintain strict adherence to clearance protocols, data-handling procedures, and secure facility guidelines.

• U.S. Government Security Clearance preferred (Secret or Top Secret, based on project needs).
• U.S. Citizenship required.
• Bachelor's or Master's degree in Data Science, Computer Science, Aerospace Engineering, Applied Mathematics, or a related discipline.
• Proven experience with LLMs, AI/ML model development, prompt engineering, or generative AI tools.
• Domain knowledge in aerospace analytics, satellite data, telemetry processing, GN&C models, mission simulations, or geospatial mapping.
• Strong proficiency in Python and ML frameworks (Tensor Flow, PyTorch, scikit-learn, Num Py, Sci Py).
• Understanding of mission lifecycle analytics, orbital mechanics, or space systems engineering (preferred).
• Experience working within secure environments, adhering to government security policies, and managing controlled datasets.
• Familiarity with cloud and MLOps tools (AWS Gov Cloud, Azure Government, on-prem secure compute environments).
• Strong communication skills and the ability to work in a small-business team with high accountability and mission focus.