Forward Deployed Scientist

Forward Deployed Scientist

$170,000 - $210,000 base \+ bonus \+ equity

United States (Remote with travel)

An AI-driven technology company building advanced decision intelligence platforms used to support complex strategic planning and large-scale operational decisions.

The company develops software that combines data, AI, and modeling to help organizations understand complex tradeoffs, evaluate scenarios, and make better long-term decisions. Their platform brings together predictive models, simulation, and optimization to replace fragmented analysis with scalable, software-driven intelligence.

This Forward Deployed Scientist will help shape the core intelligence layer of the platform. The role sits at the intersection of AI research, product, and engineering, leading the design of systems that combine predictive modeling, simulation, and optimization to support high-impact decision making.

What You’ll Do

• Lead development of decision intelligence systems combining predictive modeling, simulation, and optimization
• Apply advanced methods including discrete event simulation, Monte Carlo methods, agent-based modeling, and stochastic optimization
• Translate complex real-world problems into scalable AI systems and products
• Own projects from research through production deployment
• Collaborate closely with engineering, product, and data teams to deliver production-ready solutions
• Influence platform-level AI architecture and technical strategy
• Mentor and guide other data scientists and engineers

What You’ll Bring

• Strong expertise in simulation and optimization techniques such as DES, Monte Carlo, stochastic optimization, and agent-based modeling
• Experience delivering AI systems from research to production
• Knowledge of causal modeling, causal discovery, and Bayesian optimization
• Strong Python and AI system development experience
• Experience working closely with engineering and product teams

Tech Stack

• Python
• Simulation and optimization frameworks
• Causal modeling and Bayesian methods
• Production ML systems
• LLM and agentic AI frameworks
• Cloud platforms such as AWS, GCP, or Azure

Why Join

• Opportunity to shape the AI architecture behind a complex decision intelligence platform
• Work on technically challenging problems involving simulation, optimization, and real-world systems
• High-impact role with broad technical ownership
• Collaborative team working across AI research, engineering, and product

About People In AI

People In AI connects leading AI, machine learning, and data talent with companies building advanced AI products and infrastructure. We work closely with clients and candidates to create thoughtful matches across research, engineering, and leadership roles.