Modeling Scientist
About Anthos
Anthos is building causal decision infrastructure for capital allocators, investors, philanthropies, and policymakers. By mapping cause and effect within complex systems, it supports strategic planning and forecasting for high-stakes decisions.
The platform ingests relevant literature, reports, and data, then applies causal modeling and neuro-symbolic AI to build math-based simulation models. These models are auditable and grounded in explicit, rigorous equations rather than AI-generated text. Agentic assistants sit on top, enabling non-technical users to run simulations and assess the potential impact of planned allocations, strategies, and policy proposals.
The platform ingests relevant literature, reports, and data, then applies causal modeling and neuro-symbolic AI to build math-based simulation models. These models are auditable and grounded in explicit, rigorous equations rather than AI-generated text. Agentic assistants sit on top, enabling non-technical users to run simulations and assess the potential impact of planned allocations, strategies, and policy proposals.
About the role
Anthos Systems is looking for a Modeling Scientist to join our team. In this individual contributor role, you'll work on building and advancing causal models for clients ranging from finance and energy to climate and policy. This is an opportunity to work at the cutting edge of AI and modeling.
Key Responsibilities
- Design, build, and evaluate statistical models to solve applied business and research problems
- Conduct original research in AI, staying current with relevant literature and techniques
- Analyze datasets to extract actionable insights and support data-driven decision-making
- Collaborate with engineering and product to translate research findings into deployable solutions
- Collaborate with engineering and product to translate research findings into deployable solutions
- Communicate findings clearly to clients, both technical and non-technical stakeholders
- Maintain strict confidentiality of Company data, trade secrets, and proprietary research in accordance with the Company's Proprietary Information, Inventions, Non-Competition and Non-Solicitation Agreement
Qualifications
- Graduate degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (or equivalent professional experience)
- Expertise in several of the following: structural causal models, mixed effect regression models, dynamic bayesian networks, discrete time equations, economic modeling, control theory, system dynamics.
- Grasp of Bayesian statistics
- Proficiency in Python or R and standard data science tooling
- Strong analytical, communication, and collaboration skills
Nice to Have
- Experience in energy, finance, climate, or policy
Apply
Position is freelance with potential to become a full-time opportunity. Please send your cover letter and resume to careers@anthos.systems to apply.
