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 doAs 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 maintenanceWork 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 clientsUse your experience with decision science to build and manage agentic workflows to complete modeling tasksFlexibly lead projects, from hands-on single developer engagements through complex projects coordinating between account management and a team of developers across AimpointManage or mentor junior decision scientists through their career at AimpointSynthesize insights and construct narratives to influence decision making using optimization, simulation, statistics, ML modeling, and other techniquesWrite code in Python following software engineering best practicesTake models from development to production in client environments following DecisionOps/MLOps best practicesCollaborate with stakeholders and customers to ensure successful project deliveryAssist with technical proposal and GTM material developmentContribute to the Aimpoint perspective on agentic and AI accelerated decision scienceLead and deliver internal practice development initiativesWho we are looking forWe are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who uses AI to write efficient and optimized code. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits:Active Secret or higher security clearanceWillingness and ability to work on-site in a facility with SIPR access for 2-4 days per weekMS/PhD in Operations Research, Industrial Engineering, Computer Science, Mathematics, Engineering, or other STEM-related fieldMS + 5-6 years practical experiencePHD + 4-5 years practical experienceStrong theoretical knowledge of optimization techniques, including linear programming and integer programming and/or dynamic programming and graph theoryProficiency in a programming language such as Python, and/or proficiency in an optimization platform, AIMMS/AMPL/GAMS/PyomoPractical experience with open-source solvers and commercial solvers, such as Gurobi, CPLEX or XPRESSRequired competency in Python for data manipulation and modeling via classical ML methodologiesDemonstrated evidence of experience with end-to-end model development including but not limited to:Requirements gatheringSolution design / architectureEDA / data validationModel development and testingModel deploymentModel maintenanceBusiness user handoff / trainingExperience communicating complex topics and results to high-level stakeholders. Strong written and verbal communication skills are required.Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or peopleWant to stand out?Consulting ExperienceDatabricks Machine Learning Associate or Machine Learning Professional CertificationSnowflake SnowPro Core Certification or SnowPro Advanced: Data Scientist CertificationClaude certification or experience to generate skills / agents for decision science tasksExperience with mathematical optimization and data science for Federal clientsWe are actively seeking candidates for full-time, remote work within the US.
8 days ago