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Principal Decision Scientist, Applied Optimization and Simulation 2026 - US
Aimpoint Digital
Remote, USA
Full-time
Remote
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Aimpoint Digital is an AI and data consulting firm that turns AI ambition into production reality, built on the data and analytics foundation required to scale.
This position is within our decision sciences practice which focuses on delivering production solutions via mathematical optimization and machine learning for our Federal customers.
This role requires an active security clearance and a willingness to work on SIPR 2-4 days per week depending on project needs.
What You Will Do
As a part of Aimpoint Digital, you will focus on enabling our Federal clients to get the most out of their data.
Our Decision Science practice focuses on business, data, and process understanding to identify the best approach to solve our client’s complex problems.
We focus on delivering tangible value with models in production, not chasing theoretical boundaries with prototypes.
Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and data visualizations.
As a Lead Decision Scientist you will be expected to work independently on client engagements, manage tasking for more junior decision scientists, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.
As a Lead Decision Scientist you will:
- Become a trusted advisor working with clients to design and build end-to-end analytical solutions from initial solution architecture design through feature engineering, modeling, deployment, and maintenance
- Work independently to solve complex decision science use-cases across various industries using mathematical optimization, simulation, machine learning, statistical/mathematical modeling, and analytics to solve use cases for our federal clients
- Use your experience with decision science to build and manage agentic workflows to complete modeling tasks
- Flexibly lead projects, from hands-on single developer engagements through complex projects coordinating between account management and a team of developers across Aimpoint
- Manage or mentor junior decision scientists through their career at Aimpoint
- Synthesize insights and construct narratives to influence decision making using optimization, simulation, statistics, ML modeling, and other techniques
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