---
title: 'Data Scientist (II-Senior), Manufacturing Analytics at True Anomaly'
canonical: 'https://feeny.ai/job/data-scientist-ii-senior-manufacturing-analytics-true-anomaly-denver-co-or-long-x60117rnjjpd'
type: 'job'
last_seen: '2026-09-09'
---

# Data Scientist (II-Senior), Manufacturing Analytics at True Anomaly

- **Company:** True Anomaly
- **Location:** Denver CO OR Long Beach, CA
- **Posted:** 2026-09-01
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/trueanomalyinc/jobs/5228007007

## Job description

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.

## OUR MISSION

True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.

## OUR VALUES

- Be the offset. We create asymmetric advantages with creativity and ingenuity.
- What would it take? We challenge assumptions to deliver ambitious results.
- It’s the people. Our team is our competitive advantage and we are better together.

## YOUR MISSION

You'll build predictive models that catch component failures before they impact missions by analyzing manufacturing telemetry, deploy real-time anomaly detection systems for testing and operations that flag deviations operators would miss, and investigate schedule slips and quality issues using data-driven root cause analysis to distinguish signal from noise. You'll mine historical production data to identify bottlenecks, optimize test durations, and reduce rework, while scoring supplier reliability and predicting delivery delays to flag at-risk components. Throughout, you'll develop integrated diagnostic tools that fuse logs, telemetry, and historical data to narrow failure root causes and accelerate engineering investigations that keep spacecraft on schedule and missions on track.

## RESPONSIBILITIES

- Build predictive models for component failure prediction using manufacturing telemetry, test data, and historical reliability records to catch issues before they impact missions
- Design and deploy anomaly detection systems for launch operations, environmental testing, and spacecraft integration that flag deviations in real-time without overwhelming operators with false alarms
- Perform root cause analysis on schedule delays, test failures, and quality escapes using causal inference, data mining, and statistical modeling to identify actionable improvement opportunities
- Develop data-driven diagnostic systems that fuse manufacturing history, supplier data, test logs, and failure reports to narrow root causes and accelerate troubleshooting
- Build and maintain operational dashboards providing real-time situational awareness across production, test, and integration workflows
- Mine historical test and production data to identify patterns, cluster failure modes, prioritize process improvements, and quantify risk for upcoming builds
- Implement statistical process control and quality monitoring systems that detect out-of-spec conditions before they propagate downstream
- Write clear, maintainable Python/SQL code and Jupyter notebooks that document analysis methodology and enable reproducibility across the engineering team
- Learn and grow alongside operations, manufacturing, and reliability engineers, translating business questions into data solutions that drive decisions

## QUALIFICATIONS

- 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
- Passion for spaceflight and building reliable systems that perform in high-stakes environments

## PREFERRED SKILLS AND EXPERIENCE

- 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
- Experience with imbalanced classification: SMOTE, cost-sensitive learning, active learning for rare event prediction
- Familiarity with time-series forecasting: ARIMA, Prophet, exponential smoothing, handling regime changes and structural breaks
- Coursework or project work in operations research, queuing theory, optimization, or discrete event simulation
- Experience with text mining and NLP for log analysis, failure report clustering, or automated fault diagnosis

## COMPENSATION

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

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.

## ADDITIONAL REQUIREMENTS

- Work Location—this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
- Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
- Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.

## About True Anomaly

## Company Overview
- **One-liner**: True Anomaly is a defense technology company exclusively focused on designing and building spacecraft, software, and payloads for space superiority in contested orbital environments.
- **Entity Type**: Private (Series D – $650M fundraise announced in Q2 2026)
- **Headquarters**: Centennial, Colorado, USA (with offices in Long Beach, CA; Colorado Springs, CO; and Washington, D.C.)
- **Founded**: 2022
- **Founders**: Even Rogers (CEO and Co-Founder) and an undisclosed co-founder (Chief Engineer)

## Core Business
- **Primary industry**: Defense & Space (space defense / space superiority)
- **Target customers**: U.S. Department of Defense, allies, and partners (B2G / government)
- **Mission statement**: “Enable a secure, stable, and sustainable space environment for the US, its Allies, and partners.”

## Products & Services
- **Jackal**: A multirole space superiority platform described as a “tactical fighter-interceptor for contested space environments.” Modular hardware architecture with high-thrust, high-delta‑V performance; designed for high-rate manufacturability and maximum operational flexibility.
- **Mosaic**: A full-stack software platform for autonomous mission command and control. Translates commander intent into autonomous actions, enabling real‑time maneuver, sensor tasking, and multi‑domain coordination. Supports “train like you fight” by using the same interface for simulation and live operations.
- **Payloads**: Proprietary sensors and effectors hosted on Jackal’s mission hardpoints, tailored for precision sensing and effects in space.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total funding raised – **$1.027B** (Series A $17M, Series B $100M, Series C $260M, Series D $650M)
- **Notable Investors/Partners**: Not publicly available from provided sources
- **Growth Signals**:
  - Headcount target of 1,000+ employees by 2028
  - Multiple successful orbital missions (Mission X‑1, X‑2, X‑3; VICTUS HAZE)
  - Opened new Denver HQ (May 2025) and expanded GravityWorks facilities in Centennial, CO and Long Beach, CA
  - Rapid development timeline – first two Jackal spacecraft fielded within a year of founding

## Competitive Advantages
- **Exclusive focus on space defense**: True Anomaly is the only defense tech company dedicated solely to space superiority, giving it a clear mission and undiluted R&D resources.
- **Effect‑driven autonomy**: Mosaic’s ability to turn high‑level operator objectives into precise autonomous actions reduces decision‑latency in contested environments.
- **Operational pedigree**: Founded by ex‑U.S. Space Force operators who wrote foundational doctrine for military space operations, ensuring the product is built for real tactical needs.
- **Modular, high‑rate architecture**: Jackal’s scalable design allows cost‑effective production and rapid iteration, crucial for maintaining a strategic edge.

## Strategic Focus
- **Scaling production and headcount**: Building out facilities and hiring across engineering, operations, and mission roles to reach 1,000+ employees by 2028.
- **Continued mission demonstrations**: Upcoming and recent flight tests (MX‑3 completed June 2026, VICTUS HAZE underway) to validate end‑to‑end kill chain and rendezvous/proximity operations.
- **Deepening government partnerships**: Offices in Colorado Springs and Washington, D.C. to support close collaboration with U.S. Space Force and allied space commands.

## Why Work Here
- **Mission‑driven culture**: Employees are motivated by the direct impact on national security and freedom of operations in space. The company asks “What would it take?” to solve the hardest problems.
- **Hybrid work model**: Offices in Denver (HQ), Long Beach, Colorado Springs, and Washington, D.C. – employees work a mix of in‑office and remote.
- **Comprehensive benefits**: 100% employer‑sponsored healthcare (medical/dental/vision), generous time off, equity ownership, 401k/Roth options, and learning & development opportunities.
- **Rigorous but supportive hiring process**: Stages include a talent screen, hiring manager interview, technical panel (collaborative assessment), focused 1:1s, a founder interview, and a standard background check.
- **Engineering culture**: Emphasis on intellectual curiosity, ownership, resiliency, and a non‑standard approach to complex technical problems. Employees from any technical background are welcome.

## Sources
1. [trueanomaly.space – Company website](https://www.trueanomaly.space/)
2. [trueanomaly.space – Careers page](https://www.trueanomaly.space/careers)
3. [Greenhouse – Job board](https://job-boards.greenhouse.io/trueanomalyinc)
4. [LinkedIn – Company profile](https://www.linkedin.com/company/true-anomaly)
5. [Built In Colorado – Company overview](https://www.builtincolorado.com/company/true-anomaly)

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