Applied Scientist - Real-Time Optimization & Decision Systems

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

Job summary

Davidson Technologies, Inc. in Colorado Springs is seeking an Applied Scientist to develop algorithms and computational solutions for complex problems in optimization, uncertainty, simulation, and sequential decision-making.

This role blends applied mathematics, algorithm design, and experimental analysis, requiring translation of ambiguous requirements into practical models and evaluating methods for real-world constraints. Strong Python and C++ skills are essential.

Qualifications

• 5+ years of applied math, optimization, or related experience.
• Proven ability to translate complex problems into practical models.
• Proficient programming in Python and C++.
• Experience with probabilistic methods, simulations, or sequential decision-making.
• Strong communication of technical results and trade-offs.

Responsibilities

• Formulate problems using mathematical and computational models.
• Develop and adapt algorithms from optimization, statistics, and ML.
• Improve decisions by exploiting information over time.
• Design experiments, analyze results, and guide improvements.
• Implement algorithms in Python and C++, focusing on maintainable software.
• Develop and optimize simulations and real-time decision systems under uncertainty.
• Collaborate with the technical lead on problem formulation and direction.

Skills

Applied math

Algorithm design

Python

C++

Optimization

Reinforcement learning

Git

Communication

Education

Bachelor's in math/CS

Master's/PhD preferred

Tools

Git

GitHub

CI/CD

Job description

Davidson Technologies, Inc. in Colorado Springs is seeking an Applied Scientist to develop algorithms and computational solutions for complex problems in optimization, uncertainty, simulation, and sequential decision-making.

This role blends applied mathematics, algorithm design, and experimental analysis, requiring translation of ambiguous requirements into practical models and evaluating methods for real-world constraints. Strong Python and C++ skills are essential.