Applied Scientist
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Sep 22, 2026.
Join Sigma Nova as an Applied Scientist, where you will lead applied research engagements and turn scientific ideas into partner-ready proofs of value. This hands-on role involves framing problems, running experiments, building demonstrators, and translating results into decisions and deployable assets. You will work on framing applied research opportunities, designing and executing rigorous scientific work, and turning research into proofs of value. Candidates should have a PhD in ML/AI/statistics/applied math/signal processing/computational physics (or MSc + exceptional applied research track record), strong experience designing and evaluating ML/deep learning models, and excellent Python skills.
Missions
- Framing applied research opportunities by translating partner or internal problems into testable hypotheses and measurable success criteria.
- Designing and executing rigorous scientific work, including running targeted literature reviews, developing baselines, experimental protocols, and benchmarks.
- Turning research into proofs of value by building fast demonstrators, creating reusable assets, and translating results into clear, actionable recommendations.
Profil recherché
**What we’re looking for*** PhD in ML/AI/statistics/applied math/signal processing/computational physics (or MSc + exceptional applied research track record).
* Strong experience designing and evaluating ML/deep learning models.
* Ability to read literature, reproduce/adapt methods, and run rigorous experiments.
* Excellent Python skills and a deep learning framework (e.g., PyTorch), plus solid engineering/reproducibility practices.
* Comfort working with imperfect, scarce, heterogeneous, multimodal, or sensitive data.
* Strong communication and synthesis skills with scientific, technical, and business audiences.