Apply on Employer Site

ZYRO Hive · 1 week ago

Chief Scientist

United States

Full-time

Remote

Director/Executive

10+ years exp

ZYRO Hive is seeking a visionary Chief Scientist to lead the scientific backbone of their core intelligence system. The role involves validating and advancing a complete market sensing system that integrates environmental, operational, social, and financial data, while mentoring a team of researchers to ensure practical and deployable scientific innovations.

Computer Software

Hiring Manager

Greg Reynolds

Responsibilities

Validate and Advance the Complete Intelligence Layer: Refine and scale the core models that integrate real-time environmental, operational, social, and financial data into a unified view of system health. Evolve the feedback mechanisms that allow these domains to work together seamlessly

Develop and Validate Verifiable Value Metrics: Lead the refinement of algorithms that generate bankable, legally verifiable proof that an action has improved a system's long-term health and capacity. This creates a new asset class: Proofs of Regenerative Capacity

Lead Real-World Validation and Integration: Partner directly with our pioneering customers to test, refine, and prove these models using live data. Translate a proven framework into a robust, scalable system that works under real-world stress

Engineer and Validate the Value Distribution System: Refine algorithms that automatically identify which actions contribute to system balance and distribute rewards accordingly, creating a self-reinforcing cycle of value creation

Build and Lead a World-Class Validation Team: Mentor and guide a team of researchers and data scientists focused on real-world verification and system evolution. Collaborate closely with engineering, partnerships, and legal teams to ensure scientific innovation is practical, protectable, and deployable

Qualification

PhD in Complex SystemsR&D experienceModeling interconnected systemsPredictive analyticsAlgorithm refinementData integrationSustainability focusTeam leadershipCommunication skills

Required

PhD in Complex Systems, Network Science, Computational Economics, Systems Engineering, Computer Science, or a related field

10+ years of experience in R&D, with a proven track record of advancing and validating feedback or coordination systems in complex, real-world environments

Deep expertise in modeling interconnected systems and refining algorithms for optimization and value distribution

Strong background in predictive analytics, simulation, and mechanism design applied to large-scale coordination challenges

Proven ability to lead research teams remotely and explain complex concepts clearly to both technical and executive audiences

Preferred

Experience integrating large-scale data from diverse sources (IoT, markets, environmental sensors, social metrics)

A portfolio showing how you've evolved and validated models based on real-world feedback, especially in sectors like energy, infrastructure, or logistics

Familiarity with the data and policy challenges of multi-stakeholder or cross-jurisdictional systems

A publication or project history focused on sustainability, resilience, or systemic optimization