Data Scientist
Not Disclosed•Full-TimeOn-site
location_onRoosevelt Street, Bryan, Brazos County, Texas, 77801, United States
About the Company
Join 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, providing cost-competitive, clean firm heat and power to industry.
The Company has recently completed a merger creating a publicly listed operating company (NASDAQ IMSR) to secure the capital resources for our next growth phase. With the current alignment of US Federal and State government, as well as industry interest in Small Modular Reactor (SMR) and advanced reactor technologies, there is a unique and compelling opportunity to participate in the execution of the company's growth business plan.
We are 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 are looking for talented individuals who can help build the organization, processes, and goal-oriented corporate culture to lead the company in our expansion. We seek people who bring US market experience, exceptional performance in past projects, and the ability to thrive in a fast-growing, opportunity-driven business environment during a time of organizational change.
Work location
Work model: On-site
Roosevelt Street, Bryan, Brazos County, Texas, 77801, United States
Bryan, Texas
Key Responsibilities
- check_circlePartner with engineering teams to design simulation campaigns and uncertainty quantification studies
- check_circleProduce dashboards and technical memoranda to translate analysis into engineering decisions
- check_circleContribute to building internal forecasting and planning tools with software development teams
- check_circleDefine data quality, versioning, and validation practices for regulated environments
- check_circleDevelop reproducible data pipelines integrating MBSE, PLM, ERP, and simulation systems
- check_circleBuild and maintain analytical models for workforce, schedule, supply-chain, and risk forecasting
Requirements
- verifiedMaster's or PhD in a quantitative field or bachelor's with equivalent experience
- verified2+ years experience building analytical models or data pipelines
- verifiedMust be legally authorized to work in the US without sponsorship
- verifiedMust be a U.S. citizen, U.S. national, U.S. permanent resident, or protected individual under the U.S. Immigration and Naturalization Act
- verifiedMust be able to access information subject to U.S. Export Control Laws (10 CFR Part 810)
Nice to Have
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 such as Teamcenter, 3DEXPERIENCE, or ModelCenter. Exposure to MLOps tooling and reproducible-research practices.
Benefits & Perks
check_circleExtended Healthcare Plancheck_circleA vacation policy designed to support your work-life balancecheck_circleEAP Programs available to you and your familycheck_circleWellness SubsidyPaid Volunteer Days
Similar Job Opportunities
Skills, education and keywords
Skills: Statistical Modelling, Regression, Time-Series, Bayesian Inference, Uncertainty Quantification, Optimization, Simulation Based Methods, Python, Pandas, Numpy.
Education: Master's or PhD in a quantitative field; Master's or PhD in a quantitative field; Bachelor's with equivalent applied experience.
Frequently asked questions about Data Scientist at Terrestrial Energy
What does a Data Scientist at Terrestrial Energy do?expand_more
In this Data Scientist at Terrestrial Energy role, you will partner with engineering teams to design simulation campaigns and uncertainty quantification studies; produce dashboards and technical memoranda to translate analysis into engineering decisions; contribute to building internal forecasting and planning tools with software development teams; and define data quality, versioning, and validation practices for regulated environments.
What are the requirements for this Data Scientist role?expand_more
To qualify for the Data Scientist at Terrestrial Energy position, applicants should have: Master's or PhD in a quantitative field or bachelor's with equivalent experience; 2+ years experience building analytical models or data pipelines; Must be legally authorized to work in the US without sponsorship; Must be a U.S. citizen, U.S. national, U.S. permanent resident, or protected individual under the U.S. Immigration and Naturalization Act; and Must be able to access information subject to U.S. Export Control Laws (10 CFR Part 810).
Where is the Data Scientist role at Terrestrial Energy located?expand_more
Data Scientist at Terrestrial Energy is based in Roosevelt Street, Bryan, Brazos County, Texas, 77801, United States. This is a on-site role.
Is this Data Scientist job remote, hybrid, or on-site?expand_more
Terrestrial Energy has listed this Data Scientist role as on-site.
How much experience is required for this Data Scientist role?expand_more
Data Scientist at Terrestrial Energy typically requires 2+ years of relevant experience at the mid level level.
What skills do you need for the Data Scientist role at Terrestrial Energy?expand_more
Key skills for Data Scientist at Terrestrial Energy include Statistical Modelling; Regression; Time-Series; Bayesian Inference; Uncertainty Quantification; Optimization; Simulation Based Methods; and Python.
What education is required for Data Scientist at Terrestrial Energy?expand_more
Educational requirements for this role: Master's or PhD in a quantitative field; Master's or PhD in a quantitative field; and Bachelor's with equivalent applied experience.
What category does the Data Scientist role belong to?expand_more
Data Scientist at Terrestrial Energy is part of the engineering job category on Recrutus.