Senior Applied Mathematician: ML & Space Object Insight

Altamira Technologies Corporation; Fairborn (OH); On-site; USD 140,000 - 190,000; Full time

Job summary

Altamira Technologies Corporation in the U.S. defense and intelligence sectors seeks a Senior Applied Mathematician to advance statistical learning, machine learning approaches, and probability theory for radar and electro‑optical data processing.

This role will work with mission analysts, engineers, and software developers to improve change detection, resident space object characterization, and analytic tool performance, delivering technical reports and briefings to government and contractor

Qualifications

• Ph.D. in Statistics, Applied Mathematics, Mathematics, Operations Research, or a closely related quantitative field.
• Ten or more years of professional experience applying advanced statistical or mathematical methods to complex scientific, engineering, defense, intelligence, or national security problems.
• Expertise in advanced probability theory, stochastic processes, statistical inference, hypothesis testing, and statistical model development.
• Experience developing probabilistic algorithms or statistical learning approaches for change detection, anomaly detection, or object characterization.
• Ability to communicate technical results to government and contractor stakeholders.

Responsibilities

• Serve as a subject matter expert in applied mathematics, probability theory, stochastic processes, statistical inference, and event processing.
• Develop and refine probabilistic algorithms, statistical models, and hypothesis tests for feature-based change detection and mission-data analysis.
• Support radar-data processing and change-detection research, development, integration, testing, and evaluation activities.
• Formulate methods for resident space object characterization using noisy, sparse, or incomplete observational data.
• Apply statistical and machine-learning techniques to identify anomalies, characterize changes, and improve analytic performance.
• Develop and assess approaches based on the Sequential Probability Ratio Test (SPRT), statistical model fitting, moving-average methods, clustering, and related techniques, and contribute improvements to mission analytic tools and their underlying logic.
• Design experiments, evaluate algorithm performance, interpret results, and communicate technical findings to government and contractor stakeholders.
• Collaborate with multidisciplinary teams to translate mission needs into mathematically sound and implementable analytic solutions.
• Document methods, assumptions, results, and recommendations in technical reports, briefings, and other program deliverables.

Skills

Probability theory

Stochastic processes

Statistical inference

Hypothesis testing

Statistical model development

Machine learning

Change detection

Anomaly detection

Data analysis

Education

Ph.D. in Statistics, Applied Mathematics, Mathematics, Operations Research, or a related quantitative field

Job description

Altamira Technologies Corporation in the U.S. defense and intelligence sectors seeks a Senior Applied Mathematician to advance statistical learning, machine learning approaches, and probability theory for radar and electro‑optical data processing.

This role will work with mission analysts, engineers, and software developers to improve change detection, resident space object characterization, and analytic tool performance, delivering technical reports and briefings to government and contractor