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True Anomaly

Data Scientist (II-Senior), Manufacturing Analytics

True Anomaly · Denver, CO or Long Beach, CA

Posted 15 days ago · $125,000 - 270,000

or apply directly on True Anomaly's site. We never take the application ourselves.

Is this posting real?

This role has been open
15 days
True Anomaly's roles stay open a median of 45 days
Reposted
No
Salary listed
Yes
95% of True Anomaly's roles list one
Ghost-job risk at True Anomaly
low
0 stale, 4 reposted of 183 open
Hiring momentum
220 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from True Anomaly's own greenhouse board since 2026-08-03. Full hiring picture for True Anomaly.

About this role

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.

Our read on this posting3.8out of 5
benefits
1/5
freshness
4/5
career value
4/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of True Anomaly as an employer.

What you need

  • 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 you get

  • Base Salary: $125,000 - 270,000
  • Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave

Worth weighing

  • 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

Summarised from True Anomaly's posting. Read the full original.

Listed by True Anomaly on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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