Help & Supportcareers@gravityer.com
Theoretical Cosmologist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CNRS
Data Scientist
June 27, 2026 – Present
darkin-class
October 23, 2025 – Present
Modified version of CLASS to include generic models of dark matter-dark energy interactions. Used to produce the results in e.g. arXiv:2207.13682, arXiv:2211.13653, arXiv:2309.06544 and arXiv:2412.14139
View Projectclass_entropy
October 6, 2025 – Present
Modified version of CLASS introducing couplings between the dark matter entropy and a dark energy scalar field as introduced in arXiv:2603.10622.
View Projectclass_interacting_neutrinos
November 20, 2019 – February 10, 2025
a new version of class to deal with interacting massive and massless neutrinos.
View ProjectAxiCLASS
December 17, 2018 – Present
A new version of CLASS that can deal with axion-like particles. Co-developped with Tristan L. Smith, Tanvi Karwal + some initial commits by Charlotte Owen.
View Projectmontepython_public_v3
October 4, 2018 – January 24, 2020
montepython_public_v3 — GitHub repository
View Projectclass_decays
September 19, 2018 – March 28, 2024
a new version of CLASS with decaying particles into massive daughters and decaying neutrinos.
View ProjectDarkHistory
September 30, 2017 – Present
A code package for calculating modified cosmic ionization and thermal histories with dark matter and other exotic energy injections
View ProjectCultural Fit Analysis
The candidate's projects are highly specialized in theoretical cosmology and particle physics, primarily involving modifications to existing scientific codes. While demonstrating deep technical skills, the lack of diversity in project domains (e.g., business analytics, machine learning applications outside of physics, data engineering) suggests a potentially narrow cultural fit for a general Data Scientist role. The experience is heavily research-oriented rather than product or business-driven.
Soft Skills & Operational Fit
The provided data does not include information to assess soft skills or operational fit beyond the technical project descriptions. The psychometric test score is 0, indicating no data for logical reasoning, work attitude, stress handling, or team collaboration.