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← True Anomaly

Data Scientist (II-Senior), Manufacturing Analytics

True Anomaly
Location
Denver, CO or Long Beach, CA
Posted
19 days ago
Department
Autonomy Engineering
Salary
$125,000 - 270,000
What they actually want (must-haves)
  • Bachelor's degree in data science, statistics, industrial engineering, applied mathematics, operations research, or a similar quantitative discipline, plus 2-4 years of experience; or a Master's degree in one of these fields with no experience required
  • Proficient in Python (pandas, scikit-learn, matplotlib) and SQL for data manipulation, analysis, and visualization
  • Strong statistical fundamentals: hypothesis testing, regression, time-series analysis, survival analysis, and experimental design
  • Experience building end-to-end data pipelines: data cleaning, feature engineering, model training, validation, and deployment
  • Ability to communicate technical findings to non-technical stakeholders through clear visualizations and actionable recommendations
  • Eagerness to learn manufacturing, operations, and reliability engineering domains where data science drives real operational improvements
Nice to have
  • Experience with reliability engineering: survival analysis (Weibull, Cox models), reliability growth modeling, failure mode analysis
  • Familiarity with manufacturing analytics: statistical process control (SPC), multivariate control charts, quality prediction from process data
  • Exposure to anomaly detection techniques: Isolation Forest, LSTM autoencoders, change point detection, multivariate process monitoring
  • Internship, research, or project experience in operations analytics, supply chain forecasting, or industrial IoT telemetry analysis
  • Understanding of causal inference methods: directed acyclic graphs (DAGs), counterfactual reasoning, confounding variable analysis
What the job really is

As a Data Scientist at True Anomaly, you will focus on building predictive models and real-time anomaly detection systems to enhance manufacturing processes and ensure mission success. Your role involves analyzing manufacturing telemetry, conducting root cause analyses, and developing diagnostic tools to optimize production workflows. You will also create operational dashboards and collaborate with engineering teams to translate data insights into actionable improvements.

Benefits
  • Base Salary: $125,000 - 270,000
  • Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave
Things to weigh
  • Fully onsite role; candidates must be based in or able to commute to Denver or Long Beach daily
  • No remote work options mentioned
  • Salary range is broad and may vary based on various factors
  • Work environment details not specified, which may affect daily conditions
Job score3.8/5
Benefits1/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency5/5

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