Data Scientist (II-Senior), Operations & Reliability

Location: Fully onsite in Denver, Colorado, or Long Beach, California; candidates must be based in or able to commute to the selected office daily.

Base salary: $125,000–$270,000 per year, plus equity and benefits.

Company

hirify.global develops autonomous spacecraft, advanced payloads, mission software, and space-based interceptors for space superiority and defense.

What you will do

• Build predictive models using manufacturing telemetry, test data, and reliability records to identify component failures before they affect missions.
• Design and deploy real-time anomaly detection and quality monitoring systems for launch operations, environmental testing, and spacecraft integration.
• Perform root cause analysis on schedule delays, test failures, and quality issues using causal inference, data mining, and statistical modeling.
• Develop diagnostic tools that combine manufacturing history, supplier data, test logs, and failure reports to accelerate troubleshooting.
• Create operational dashboards and analyze historical production and test data to identify bottlenecks, failure patterns, process improvements, and risk.
• Write maintainable Python and SQL code and reproducible Jupyter notebooks while partnering with operations, manufacturing, and reliability engineers.

Requirements

• Bachelor’s degree in data science, statistics, industrial engineering, applied mathematics, operations research, or a related quantitative field, plus 2–4 years of experience; or a relevant master’s degree with no experience required.
• Proficiency in Python, including pandas, scikit-learn, and matplotlib, and in SQL.
• Strong statistical foundations in hypothesis testing, regression, time-series analysis, survival analysis, and experimental design.
• Experience building end-to-end data pipelines covering data cleaning, feature engineering, model training, validation, and deployment.
• Ability to communicate technical findings through clear visualizations and actionable recommendations.
• Must be a U.S. citizen, lawful permanent resident, protected individual, or eligible to obtain the authorizations required under ITAR.

Nice to have

• Reliability engineering experience, including Weibull or Cox models, reliability growth modeling, and failure mode analysis.
• Manufacturing analytics experience with statistical process control, multivariate control charts, or quality prediction.
• Experience with anomaly detection, time-series forecasting, imbalanced classification, causal inference, operations research, or optimization.
• Experience analyzing industrial IoT telemetry, logs, failure reports, or text using NLP.

Culture & Benefits

• Work on high-stakes spaceflight and defense systems designed for reliable mission performance.
• Health, dental, vision, HRA/HSA options, paid time off, and paid holidays.
• 401(k) and parental leave.
• Equity compensation.

Hiring process

• The position remains open until successfully filled.