Trueanomalyinc

<div>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
<ul>
<li>Be the offset. We create asymmetric advantages with creativity and ingenuity.</li>
<li>What would it take? We challenge assumptions to deliver ambitious results.</li>
<li>It’s the people. Our team is our competitive advantage and we are better together.</li>
</ul>
BENEFITS &amp; PERKS*
<ul>
<li>Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options</li>
<li>Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave</li>
<li>Fuel for your day: Daily catered lunch and unlimited snacks for in-office employees</li>
<li>And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays</li>
<li>Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success.</li>
</ul>
*Do not apply to fixed term and temporary roles</div>YOUR MISSION
We are looking for an experienced, hands-on Data Analyst to help us turn data into useful insights and make better business decisions while contributing to the continued development of our data infrastructure. In this role, you’ll independently partner with stakeholders across the organization to explore data, improve reporting, answer business questions, define meaningful metrics, and develop practical, reusable solutions. You’ll also help test, validate, and execute new data models, processes, and tools as we build a more scalable data foundation. This is an opportunity for someone who brings strong analytical fundamentals, sound judgment, and a practical approach to solving complex problems while helping establish sustainable analytics practices across the organization.
RESPONSIBILITIES
<ul>
<li>Independently partner with stakeholders to understand business objectives and translate them into reliable analyses, reports, dashboards, metrics, and data solutions.</li>
<li>Explore, clean, reconcile, and validate data from operational systems and emerging data infrastructure to identify trends, patterns, anomalies, and opportunities.</li>
<li>Build, maintain, and improve dashboards, recurring reports, SQL queries, analytical datasets, and ad hoc analyses that support business decision-making.</li>
<li>Test and execute new data models, reporting processes, and analytical workflows; identify issues, document findings, and provide feedback to improve scalability and usability.</li>
<li>Help establish consistent metrics, data definitions, documentation, quality checks, and reporting practices as our data capabilities scale.</li>
</ul>
QUALIFICATIONS
<ul>
<li>4+ years of professional experience in data analysis, business intelligence, operations analysis, finance, product analytics, or a related field.</li>
<li>Demonstrated ability to independently own analytical projects from requirements gathering through analysis, validation, communication, and delivery.</li>
<li>Strong SQL skills, including complex joins, aggregations, CTEs, window functions, and the ability to investigate and validate query results.</li>
<li>Experience building and maintaining dashboards, reports, datasets, or analytical tools used by business stakeholders.</li>
<li>Strong problem-solving, communication, organization, and attention-to-detail skills, with the ability to exercise sound judgment when working with complex or imperfect data.</li>
</ul>
PREFERRED SKILLS AND EXPERIENCE
<ul>
<li>Experience with a BI or visualization tool such as Power BI, Tableau, Looker, Grafana, or a similar platform.</li>
<li>Experience validating data models, reporting pipelines, data transformations, or analytical workflows across multiple systems.</li>
<li>Familiarity with data modeling concepts such as tables, dimensions, measures, data grain, reusable reporting datasets, and metric definitions.</li>
<li>Exposure to Python, R, APIs, data warehouses, ETL/ELT, dbt, lakehouse concepts, Git, or other data development practices.</li>
<li>Experience improving data quality, automating manual reporting, documenting data processes, or helping establish analytics standards.</li>
</ul>
COMPENSATION
<ul>
<li>Base Salary:  $80,000 - $150,000</li>
</ul>
<ul>
<li>Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave </li>
</ul>
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
<ul>
<li>Work Location—Successful candidates will be located near Long Beach, CA. While we observe a hybrid work environment, some work must be done on site.</li>
</ul>
This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Hybrid<div>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 know.
To protect candidates and our company from application fraud and impersonation, we use third-party tools to verify applicant identity and detect fraudulent applications. Learn more in our <a href="https://www.trueanomaly.space/legal/privacy-policy" target="_blank" rel="noopener noreferrer ugc">Privacy Notice</a>.</div>

Data Analyst

<div>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
<ul>
<li>Be the offset. We create asymmetric advantages with creativity and ingenuity.</li>
<li>What would it take? We challenge assumptions to deliver ambitious results.</li>
<li>It’s the people. Our team is our competitive advantage and we are better together.</li>
</ul>
BENEFITS &amp; PERKS*
<ul>
<li>Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options</li>
<li>Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave</li>
<li>Fuel for your day: Daily catered lunch and unlimited snacks for in-office employees</li>
<li>And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays</li>
<li>Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success.</li>
</ul>
*Do not apply to fixed term and temporary roles</div>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
<ul>
<li>Build predictive models for component failure prediction using manufacturing telemetry, test data, and historical reliability records to catch issues before they impact missions </li>
<li>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 </li>
<li>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 </li>
<li>Develop data-driven diagnostic systems that fuse manufacturing history, supplier data, test logs, and failure reports to narrow root causes and accelerate troubleshooting </li>
<li>Build and maintain operational dashboards providing real-time situational awareness across production, test, and integration workflows </li>
<li>Mine historical test and production data to identify patterns, cluster failure modes, prioritize process improvements, and quantify risk for upcoming builds </li>
<li>Implement statistical process control and quality monitoring systems that detect out-of-spec conditions before they propagate downstream </li>
<li>Write clear, maintainable Python/SQL code and Jupyter notebooks that document analysis methodology and enable reproducibility across the engineering team </li>
<li>Learn and grow alongside operations, manufacturing, and reliability engineers, translating business questions into data solutions that drive decisions </li>
</ul>
QUALIFICATIONS
<ul>
<li>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. </li>
<li>Proficient in Python (pandas, scikit-learn, matplotlib) and SQL for data manipulation, analysis, and visualization </li>
<li>Strong statistical fundamentals: hypothesis testing, regression, time-series analysis, survival analysis, and experimental design </li>
<li>Experience building end-to-end data pipelines: data cleaning, feature engineering, model training, validation, and deployment </li>
<li>Ability to communicate technical findings to non-technical stakeholders through clear visualizations and actionable recommendations </li>
<li>Eagerness to learn manufacturing, operations, and reliability engineering domains where data science drives real operational improvements </li>
<li>Passion for spaceflight and building reliable systems that perform in high-stakes environments </li>
</ul>
PREFERRED SKILLS AND EXPERIENCE
<ul>
<li>Experience with reliability engineering: survival analysis (Weibull, Cox models), reliability growth modeling, failure mode analysis </li>
<li>Familiarity with manufacturing analytics: statistical process control (SPC), multivariate control charts, quality prediction from process data </li>
<li>Exposure to anomaly detection techniques: Isolation Forest, LSTM autoencoders, change point detection, multivariate process monitoring </li>
<li>Internship, research, or project experience in operations analytics, supply chain forecasting, or industrial IoT telemetry analysis </li>
<li>Understanding of causal inference methods: directed acyclic graphs (DAGs), counterfactual reasoning, confounding variable analysis </li>
<li>Experience with imbalanced classification: SMOTE, cost-sensitive learning, active learning for rare event prediction </li>
<li>Familiarity with time-series forecasting: ARIMA, Prophet, exponential smoothing, handling regime changes and structural breaks </li>
<li>Coursework or project work in operations research, queuing theory, optimization, or discrete event simulation </li>
<li>Experience with text mining and NLP for log analysis, failure report clustering, or automated fault diagnosis </li>
</ul>
COMPENSATION
<ul>
<li>Base Salary: $125,000 - 270,000</li>
<li>Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave </li>
</ul>
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
<ul>
<li>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. </li>
<li>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.</li>
<li>Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.</li>
</ul>
This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite<div>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 know.
To protect candidates and our company from application fraud and impersonation, we use third-party tools to verify applicant identity and detect fraudulent applications. Learn more in our <a href="https://www.trueanomaly.space/legal/privacy-policy" target="_blank" rel="noopener noreferrer ugc">Privacy Notice</a>.</div>

Data Scientist (II-Senior), Operations & Reliability

<div>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
<ul>
<li>Be the offset. We create asymmetric advantages with creativity and ingenuity.</li>
<li>What would it take? We challenge assumptions to deliver ambitious results.</li>
<li>It’s the people. Our team is our competitive advantage and we are better together.</li>
</ul>
BENEFITS &amp; PERKS*
<ul>
<li>Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options</li>
<li>Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave</li>
<li>Fuel for your day: Daily catered lunch and unlimited snacks for in-office employees</li>
<li>And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays</li>
<li>Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success.</li>
</ul>
*Do not apply to fixed term and temporary roles</div>YOUR MISSION
As a member of the Applied Algorithms and Autonomy team, you will contribute to the design and development of machine learning and AI capabilities for True Anomaly. Working alongside experienced engineers, you will support the development of models and pipelines that enable object classification, anomaly detection, and data-driven decision-making. You are curious, driven, and eager to grow — someone who takes ownership of their work and isn't afraid to tackle hard problems.
RESPONSIBILITIES
<ul>
<li>Assist in the development, training, and evaluation of ML models across a range of mission-relevant tasks</li>
<li>Support data ingestion, preprocessing, and feature engineering pipelines</li>
<li>Run experiments, track results, and contribute to model evaluation and iteration</li>
<li>Write clean, documented, and testable Python code as part of a collaborative engineering team</li>
<li>Learn and grow alongside senior engineers, contributing meaningfully from day one</li>
</ul>
QUALIFICATIONS
<ul>
<li>Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline, plus 2-4 years of experience; or a Master's degree in one of these fields with no experience required.</li>
<li>Proficiency in Python</li>
<li>Foundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluation</li>
<li>Exposure to ML frameworks such as PyTorch, TensorFlow, or JAX through coursework, research, or personal projects</li>
<li>Strong mathematical fundamentals in linear algebra, statistics, and probability</li>
<li>Eagerness to learn, take feedback, and grow in a fast-paced, mission-driven environment</li>
<li>Passion for spaceflight and advancing capabilities related to space domain awareness and space security</li>
</ul>
PREFERRED SKILLS AND EXPERIENCE
<ul>
<li>Internship, research, or project experience applying ML to real-world or research datasets</li>
<li>Familiarity with classification, regression, clustering, or anomaly detection techniques</li>
<li>Experience with version control (Git) and basic software engineering practices</li>
<li>Exposure to MLOps concepts such as experiment tracking or model versioning</li>
<li>Coursework or project work in deep learning, computer vision, or time-series analysis</li>
</ul>
COMPENSATION
<ul>
<li>Base Salary: $125,000 - $220,000</li>
<li>Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave </li>
</ul>
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
<ul>
<li>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. </li>
<li>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.</li>
<li>Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.</li>
</ul>
This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite <div>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 know.
To protect candidates and our company from application fraud and impersonation, we use third-party tools to verify applicant identity and detect fraudulent applications. Learn more in our <a href="https://www.trueanomaly.space/legal/privacy-policy" target="_blank" rel="noopener noreferrer ugc">Privacy Notice</a>.</div>

Machine Learning Engineer (II-III), Space Edge Deployment

Data Scientist (II-Senior), Manufacturing Analytics

<div>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
<ul>
<li>Be the offset. We create asymmetric advantages with creativity and ingenuity.</li>
<li>What would it take? We challenge assumptions to deliver ambitious results.</li>
<li>It’s the people. Our team is our competitive advantage and we are better together.</li>
</ul>
BENEFITS &amp; PERKS*
<ul>
<li>Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options</li>
<li>Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave</li>
<li>Fuel for your day: Daily catered lunch and unlimited snacks for in-office employees</li>
<li>And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays</li>
<li>Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success.</li>
</ul>
*Do not apply to fixed term and temporary roles</div>YOUR MISSION
We are looking for a Data Engineer I who is an exceptional early-career engineer with strong Python and SQL skills and a passion for solving complex challenging technical problems and dealing with a certain amount of ambiguity.  This is an opportunity for a talented graduate to build real-world data systems and grow quickly in a fast-paced high-performance startup environment. 
RESPONSIBILITIES 
<ul>
<li>Build and maintain data pipelines and data products and solutions using Python, SQL and modern cloud data platforms and technologies</li>
<li>Develop, test and troubleshoot data ingestion, transformations and workflows</li>
<li>Apply software engineering practices including Git, testing, and CI/CD</li>
<li>Leverage AI-assisted engineering tools to improve development and testing productivity</li>
<li>Collaborate with experienced engineers, take ownership, adapt and learn quickly and deliver solutions that directly support our data and other stakeholders </li>
</ul>
QUALIFICATIONS
<ul>
<li>0-2 years of experience in data engineering, software engineering</li>
<li>Bachelor's or Master's degree in computer science, Data Science or a related technical field</li>
<li>Excellent Python programming skills and a reasonable knowledge of SQL</li>
<li>Strong software engineering and problem-solving skills and one who is curious, takes the initiative and a quick learner</li>
<li>Willing to embrace the pace, ambiguity and challenges of a startup environment </li>
</ul>
PREFERRED QUALIFICATIONS
<ul>
<li>Has completed one or more internships, research or created projects in software or data engineering </li>
<li>Exposure or a decent understanding of Cloud Data Platforms</li>
<li>Exposure/Experience building with Spark, Airflow, dbt, Kafka or similar technologies</li>
<li>Experience using AI-enabled development tools and technologies</li>
</ul>
 What we are looking for:
This is a hands-on entry-level data engineering role. The successful candidate should be comfortable writing code, solving difficult technical problems, be willing to challenge the status quo, collaborate with the Principal and Senior Data Engineers as well as the cross functional teams and deliver quality data solutions.
Please note: We are unable to provide visa sponsorship. COMPENSATION
<ul>
<li>Base Salary: Denver - $80,000 - $110,000, Long Beach - $85,000 - $115,000</li>
<li>Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave </li>
</ul>
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
<ul>
<li>Work Location— Long Beach, CA, or Denver, CO. While we observe a hybrid work environment, you will need to be onsite as the business needs require. Onsite requirements are subject to change, particularly when work on classified systems is required.  On an average week, you can expect to spend at least 3 days per week in office.  </li>
<li>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.</li>
<li>Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.</li>
</ul>
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.
 
 
 <div>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 know.
To protect candidates and our company from application fraud and impersonation, we use third-party tools to verify applicant identity and detect fraudulent applications. Learn more in our <a href="https://www.trueanomaly.space/legal/privacy-policy" target="_blank" rel="noopener noreferrer ugc">Privacy Notice</a>.</div>

Trueanomalyinc

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Data Analyst

Data Scientist (II-Senior), Operations & Reliability

Machine Learning Engineer (II-III), Space Edge Deployment

Data Scientist (II-Senior), Manufacturing Analytics

Data Engineer I

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