Senior Applied Mathematician: Probabilistic ML for Missions

Altamira-Technologies-Corp.

Fairborn (OH)

On-site

USD 150,000 - 230,000

Full time

14 days+
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Job summary

Altamira Technologies seeks a Senior Applied Mathematician to advance statistical learning, ML, and probability theory for Air Force and Intelligence Community missions. You will translate complex math into practical algorithms for radar and electro-optical data processing.

You will collaborate with mission analysts, engineers, and software developers to improve change detection, resident space object characterization, and analytic tool performance for operational use.

Qualifications

  • Ph.D. in a quantitative field as listed.
  • 10+ years of professional experience in defense/intelligence domain.
  • Expertise in probability theory, stochastic processes, and statistical inference.
  • Experience building probabilistic algorithms for detection and data analysis.
  • Ability to explain complex math to technical audiences.

Responsibilities

  • Serve as SME in applied mathematics, probability theory, stochastic processes, and statistical inference.
  • Develop probabilistic algorithms and models for feature-based change detection.
  • Support radar-data processing, experiments, and evaluation activities.
  • Characterize resident space objects from noisy sparse data.
  • Apply ML techniques to identify anomalies and improve analytic performance.
  • Design experiments, evaluate results, and communicate findings to stakeholders.
  • Collaborate with multidisciplinary teams to translate mission needs into analytic solutions.
  • Document methods and results in technical reports and briefings.

Skills

Probability theory
Stochastic processes
Statistical inference
Hypothesis testing
Statistical model development
Machine learning
Event processing
Data analysis
Communication skills

Education

Ph.D. in Statistics
Ph.D. in Applied Mathematics
Ph.D. in Mathematics
Ph.D. in Operations Research

Job description

Altamira Technologies seeks a Senior Applied Mathematician to advance statistical learning, ML, and probability theory for Air Force and Intelligence Community missions. You will translate complex math into practical algorithms for radar and electro-optical data processing.

You will collaborate with mission analysts, engineers, and software developers to improve change detection, resident space object characterization, and analytic tool performance for operational use.

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