Data Scientist — Physics-Informed ML for Materials

SirenOpt, Inc.; San Leandro (CA); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Health, Dental, Vision plans

401k matching

PTO and holidays

Equity

Job summary

SirenOpt is seeking a Data Scientist to join our Applications Engineering team. You will build and deploy ML models that translate high-dimensional sensor signals into actionable predictions of material properties, bridging raw instrument data and manufacturing intelligence.

In a forward-deployed role, you will work with customer samples, validate models on novel materials, and collaborate with software and hardware teams to move models from research to production, delivering measurable impact

Qualifications

• BS in Data Science, Statistics, Applied Mathematics, or related quantitative field with 3-5 years ML/data science experience; or MS with 1-3 years (PhD a plus)
• Hands-on experience building and validating predictive models in Python
• Ability to analyze multivariate, high-dimensional datasets and perform feature engineering and selection
• Strong grasp of statistical modeling: uncertainty quantification, regularization, covariate analysis, and feature importance methods
• Excellent communicator; able to present findings to both technical and non-technical audiences

Responsibilities

• Build, calibrate, and validate predictive models mapping sensor features to material properties
• Design and evaluate new model architectures for small-data, high-dimensional scientific datasets
• Apply regression, dimensionality reduction, probabilistic modeling, anomaly detection, and physics-informed ML
• Develop testing/validation frameworks with uncertainty quantification and out-of-distribution detection
• Characterize model robustness across sample types, process conditions, and instrument configurations
• Prepare models and documentation for handoff to software engineering for production deployment
• Analyze datasets from customer proof-of-concepts
• Compile technical reports and materials for customers
• Translate findings into model improvement roadmaps

Skills

Python

Machine learning

Data analysis

Feature engineering

Communication

Education

Bachelor's in Data Science/Statistics/Applied Mathematics or related field

Master's with 1-3 years experience

PhD a plus

Tools

PostgreSQL

Job description

SirenOpt is seeking a Data Scientist to join our Applications Engineering team. You will build and deploy ML models that translate high-dimensional sensor signals into actionable predictions of material properties, bridging raw instrument data and manufacturing intelligence.

In a forward-deployed role, you will work with customer samples, validate models on novel materials, and collaborate with software and hardware teams to move models from research to production, delivering measurable impact