Applied Scientist: Optimization & RealTime Decision Systems

Davidson-Technologies,-Inc.; Colorado Springs (CO); On-site; USD 120,000 - 180,000; Full time

Job summary

Davidson Technologies, Inc. seeks an Applied Scientist in Colorado Springs to develop algorithms for optimization, uncertainty, simulation, and sequential decision-making in defense applications.

This self-directed role emphasizes rigorous mathematical reasoning, practical modeling, and evidence-based decision making within a team that values engineering excellence and real-world impact. You will translate ambiguous requirements into concrete models, design computational experiments, compare

Qualifications

• Experience applying quantitative methods to real-world problems.
• Proficient in Python and C++ for algorithm development.
• Familiarity with optimization, statistics, simulation, and ML methods.

Responsibilities

• Formulate problems using mathematical and computational models.
• Develop and combine algorithms from optimization, ML, and simulation.
• Improve decisions and efficiency using information over time.
• Design experiments, analyze results, and guide improvements.
• Implement algorithms and maintain software in Python and C++.
• Develop discrete-event simulations and real-time sequential decision systems.
• Collaborate with the tech lead on problem formulation and direction.

Skills

Python

C++

Optimization

Probability & Statistics

Simulation

Reinforcement Learning

Bandit Algorithms

Active Learning

Git/GitHub

Communication

Education

Bachelor's degree in mathematics, OR, statistics, CS, engineering, or related field

Master's degree or PhD in related field

Tools

Git/GitHub

Job description

Davidson Technologies, Inc. seeks an Applied Scientist in Colorado Springs to develop algorithms for optimization, uncertainty, simulation, and sequential decision-making in defense applications.

This self-directed role emphasizes rigorous mathematical reasoning, practical modeling, and evidence-based decision making within a team that values engineering excellence and real-world impact. You will translate ambiguous requirements into concrete models, design computational experiments, compare