Applied Scientist

Sigma Nova as an Applied Scientist, where you will lead applied research engagements and turn scientific ideas into partner-ready proofs of value.

Responsibilities

• 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.
• 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.

Requirements

• 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.
• 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.