Data Scientist

Overview

Come join us at Terrestrial Energy, a US developer of advanced, Generation IV nuclear reactors. We are growing our workforce to develop and deploy our Integral Molten Salt Reactor (IMSR) small modular nuclear plant to provide cost-competitive, clean firm heat and power to industry. The Company has recently completed a merger creating a publicly listed operating company (NASDAQ “IMSR”), securing the capital resources for our next growth phase.

With current alignment of US Federal and State government, and industry interest in SMR and advanced reactor technologies such as Terrestrial Energy’s IMSR, there is a unique and compelling opportunity to participate in the execution of the company’s growth business plan.

The Company is building a team of high‑performing business professionals and leaders in engineering, R&D, product management, and business development at our Charlotte, North Carolina headquarters and future project sites. We seek talented individuals who can help build the organization, processes, and goal‑oriented corporate culture to lead the company in its expansion.

• Have US market experience and perspectives bringing good judgement and innovative approaches to problem solving and business plan execution.
• Have demonstrated exceptional performance in past engineering projects.
• Offer exceptional leadership and team‑building capabilities.
• Have a deep understanding of the requirements for advanced reactor development.
• Can assist in the creation of a disciplined and organized company structure, contributing to a culture of excellence necessary for the development and deployment of the Company’s IMSR plant.
• Can thrive in a fast‑growing, opportunity‑rich business environment, and are capable of flexibility and adaptability during organizational change.
• Have the specific skillset and experience for the following role.

Under the direction of the Digital Engineering Manager, the Data Scientist is primarily responsible for partnering with nuclear engineering teams to develop, refine, and scale large‑scale models that strengthen engineering analysis, decision‑making, and predictive insight across the organization.

• Build and maintain analytical models supporting engineering decisions across workforce and schedule forecasting, simulation result aggregation, supplier and supply‑chain analytics, and reliability and risk modeling.
• Develop reproducible data pipelines that pull from MBSE/PLM, SPDM, schedule, ERP, and simulation output systems and serve cleaned datasets to downstream tools.
• Partner with Reactor Physics, Thermal Hydraulics, and Safety Analysis to design analyses over simulation campaigns, including uncertainty quantification, surrogate models, and sensitivity studies.
• Produce dashboards, briefings, and technical memoranda that translate analysis into decisions for engineering leadership and program management.
• Define data‑quality, versioning, and validation practices that make analyses defensible in a regulated environment.
• Contribute to the build‑out of internal forecasting and planning tools in collaboration with Software Development.

• Statistical modeling (regression, time‑series, Bayesian inference, uncertainty quantification, optimization, or simulation‑based methods).
• Python (pandas, Num Py, scikit‑learn) and SQL.
• End‑to‑end analytics from raw data to actionable insights.
• Technical communication and stakeholder collaboration.
• Reproducible workflows, versioning, validation, and documentation.

• Master’s or PhD in a quantitative field (statistics, applied mathematics, physics, engineering, computer science, operations research), or a bachelor’s with equivalent applied experience.
• At least two years of experience building analytical models or data pipelines used in a production or operational setting.
• Demonstrated end‑to‑end experience with at least one notebook‑and‑pipeline workflow.

• Experience in nuclear, aerospace, oil and gas, utilities, or another regulated engineering domain.
• Familiarity with reactor physics codes, thermal‑hydraulic codes, or finite‑element output formats.
• Experience with PLM or SPDM systems…