Data Scientist – Signal Modeling & Applied Metrology

Location: On-site in San Leandro, California, United States

Base pay: $100,000–$160,000 USD per year

Company

hirify.global develops a manufacturing intelligence platform that uses cold atmospheric plasma, physics-informed machine learning, and predictive analytics to characterize materials during production.

What you will do

• Build, calibrate, and validate predictive models mapping sensor signal features to material properties.
• Design model architectures and featurization strategies for small-data, high-dimensional scientific datasets.
• Apply regression, dimensionality reduction, probabilistic modeling, anomaly detection, and physics-informed machine learning.
• Develop validation frameworks covering uncertainty quantification, out-of-distribution detection, and model robustness.
• Analyze customer proof-of-concept datasets, prepare technical reports, and translate feedback into model improvement roadmaps.
• Collaborate with software and hardware engineering teams to move models from research into production.

Requirements

• Bachelor's degree in Data Science, Statistics, Applied Mathematics, or a related quantitative science field with 3–5 years of applied machine learning or data science experience; or a master's degree with 1–3 years of experience.
• Hands-on experience building and validating supervised and self-supervised predictive models in Python.
• Experience analyzing multivariate, high-dimensional datasets and performing feature engineering and selection.
• Strong understanding of statistical modeling, including uncertainty quantification, regularization, covariate analysis, and feature importance methods.
• Strong communication skills, with the ability to present technical findings to technical and non-technical audiences.

Nice to have

• Experience with time-series, spectroscopic, or other sensor-based signal data.
• Background in manufacturing, materials science, energy storage, semiconductors, or another physical science domain.
• Customer-facing or applications engineering experience in a technical product company.
• Experience deploying models in production software environments.
• Familiarity with data pipeline development, including PostgreSQL or similar technologies.
• Fluency in Mandarin Chinese, Japanese, German, Korean, or another key stakeholder language.

Culture & Benefits

• Forward-deployed, customer-adjacent work involving customer samples and datasets.
• Health, dental, and vision plans.
• 401(k) matching.
• 20 days of paid time off per year plus approximately 15 paid US holidays.
• Equity and salary compensation based on experience.