Applied Scientist: Optimization & Real-Time Decisions

Davidson Technologies, Inc.; Colorado Springs (CO); On-site; USD 120,000 - 190,000; Full time

Job summary

Davidson Technologies, Inc. seeks an Applied Scientist in Colorado Springs to design algorithms and computational solutions for optimization, uncertainty, simulation, and sequential decision-making.

You will translate ambiguous requirements into practical models and evaluate approaches while collaborating with the technical lead. This role combines applied mathematics, programming, and experimental analysis, with responsibilities spanning simulation-based optimization and real-time decision

Qualifications

• Bachelor's degree in mathematics, OR operations research, statistics, CS, engineering, or related field; 5+ years experience.
• Master's or PhD in a related field with 3+ years experience.
• Practical experience applying quantitative methods to real-world problems.
• Proficiency in Python and C++ programming.

Responsibilities

• Formulate complex problems using mathematical/computational models and evaluate assumptions.
• Develop/adapt algorithms from optimization, probability, statistics, ML, and sequential decision-making.
• Identify opportunities to improve decisions and computational efficiency using information over time.
• Design computational experiments, analyze results, and use evidence to guide improvements.
• Implement algorithms and contribute to maintainable software in Python and C++.
• Develop and optimize discrete-event simulations and contribute to real-time decision systems under uncertainty.
• Collaborate with the technical lead to assess approaches and develop practical alternatives.

Skills

Python

C++

Optimization

Statistics

Machine learning

Reinforcement learning

Education

Bachelor's degree in mathematics, operations research, statistics, computer science, engineering, or a related field

Master's or PhD in a related field with 3+ years of experience

Tools

Git and GitHub

Job description

Davidson Technologies, Inc. seeks an Applied Scientist in Colorado Springs to design algorithms and computational solutions for optimization, uncertainty, simulation, and sequential decision-making.

You will translate ambiguous requirements into practical models and evaluate approaches while collaborating with the technical lead. This role combines applied mathematics, programming, and experimental analysis, with responsibilities spanning simulation-based optimization and real-time decision