Senior Scientist, Data-Driven Materials & Algorithms

SirenOpt, Inc.; San Leandro (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

SirenOpt, Inc. in San Leandro, CA is seeking a Senior Scientist, Algorithms & Data Products to translate multi‑modal sensor signals into robust material fingerprints and predictive metrics. You will own end‑to‑end modeling pipelines and help shape models for battery electrodes and coatings.

Join a hands‑on R&D team that integrates hardware and software, designs experimental protocols, and deploys models across edge and cloud systems for reliable industrial insights.

Qualifications

• Advanced degree in physics, applied maths, statistics, electrical engineering, CS, or similar.
• 6+ years building models from real world sensor or process data.
• Track record of detecting data artifacts, drift, or miscalibration.
• Strong Python and scientific computing tooling experience.
• Experience designing end-to-end analysis workflows and validation.
• Familiarity with multi-modal data fusion and edge/real-time systems is a plus.

Responsibilities

• Own end-to-end modeling pipelines from raw sensor data to customer metrics.
• Develop multi-modal representations of plasma-material interactions.
• Design automated experimental protocols coordinating plasma hardware and sensing.
• Collaborate with embedded, controls, and software engineers on deployment architectures.
• Define performance metrics, validation strategies, and monitoring for models.
• Ensure data trustworthiness by detecting artifacts and drift before reaching models.

Skills

Python

Data analysis

Modeling

Statistics

Communication

Experiment design

Education

PhD or MS in quantitative field

Tools

NumPy

SciPy

pandas

scikit-learn

PyTorch

Job description

SirenOpt, Inc. in San Leandro, CA is seeking a Senior Scientist, Algorithms & Data Products to translate multi‑modal sensor signals into robust material fingerprints and predictive metrics. You will own end‑to‑end modeling pipelines and help shape models for battery electrodes and coatings.

Join a hands‑on R&D team that integrates hardware and software, designs experimental protocols, and deploys models across edge and cloud systems for reliable industrial insights.