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Principal Component Analysis Jobs (NOW HIRING)

Raytheon

Principal Component Engineer

Huntsville, AL

Knowledge of analog design and analysis, general knowledge of digital circuitry and interfaces.  ... Knowledge of Component MIL drawings, standards, test specifications, and associated QPLs and QMLs ...

CesiumAstro

Principal Component Engineer I

Austin, TX · On-site

We are looking to add a Principal Component Engineer I to our team. If you enjoy working in a ... Perform bill-of-materials cost analysis, components research and obsolescence mitigation, and ...

Raytheon

Principal Component Engineer

Huntsville, AL

Knowledge of analog design and analysis, general knowledge of digital circuitry and interfaces.  ... Knowledge of Component MIL drawings, standards, test specifications, and associated QPLs and QMLs ...

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$36.5K

$109.4K

$182K

How much do principal component analysis jobs pay per year?

As of May 29, 2026, the average yearly pay for principal component analysis in the United States is $109,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist specializing in Principal Component Analysis (PCA), and why are they important?

To thrive as a Data Scientist specializing in PCA, you need strong statistical knowledge, experience with dimensionality reduction techniques, and a background in mathematics or data science. Proficiency in programming languages like Python or R, as well as familiarity with libraries such as scikit-learn or MATLAB, is essential for implementing PCA and analyzing large datasets. Critical thinking, problem-solving, and effective communication are valuable soft skills for interpreting results and conveying insights to stakeholders. These skills ensure accurate data analysis, meaningful interpretation, and the ability to drive data-informed decisions in complex projects.

How do data scientists typically collaborate with other teams when applying Principal Component Analysis (PCA) in a project?

Data scientists often work closely with domain experts, data engineers, and business analysts when using PCA in a project. They collaborate with domain experts to interpret the components and ensure the reduced dimensions still capture meaningful information for the business context. Data engineers assist in preparing and transforming the data prior to running PCA, while business analysts help communicate findings and drive decision-making based on the results. Effective communication and cross-functional teamwork are essential to ensure that PCA-driven insights are accurate, actionable, and aligned with organizational goals.

What is Principal Component Analysis?

Principal Component Analysis (PCA) is a statistical technique used in data analysis and machine learning to reduce the dimensionality of large datasets. It works by transforming the original variables into a new set of uncorrelated variables called principal components, which are ordered by the amount of variance they capture from the data. PCA helps simplify data visualization, speeds up algorithms, and can improve model performance by eliminating noise and redundant features. This makes it particularly useful for exploratory data analysis and preprocessing before applying other machine learning algorithms.

What is the difference between Principal Component Analysis vs Data Scientist?

AspectPrincipal Component AnalysisData Scientist
Primary FocusData reduction and feature extractionData analysis, modeling, and insights
Required SkillsStatistics, linear algebra, programmingStatistics, programming, domain knowledge
Work EnvironmentData preprocessing, exploratory analysisData analysis, model development, communication
Industry UsageMachine learning, data science, analyticsData science, analytics, AI projects

Principal Component Analysis (PCA) is a technique used for reducing data dimensionality by transforming variables into principal components. Data Scientists utilize PCA as part of their toolkit to simplify data and improve model performance. While PCA focuses on data transformation, Data Scientists perform broader tasks including data cleaning, modeling, and interpretation. Both roles often work together in data-driven projects within industries like tech, finance, and healthcare.

More about Principal Component Analysis jobs
What job categories do people searching Principal Component Analysis jobs look for? The top searched job categories for Principal Component Analysis jobs are:
Principal Component Analysis jobs near you
Infographic showing various Principal Component Analysis job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution, with an average salary of $109,393 per year, or $52.6 per hour.
Principal Component Engineer I

Principal Component Engineer I

CesiumAstro

Westminster, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 22 days ago

Job description

Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain the required authorizations from the U.S. Department of State.
At CesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross-functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward-thinking individuals to join our team.
We are looking to add a Principal Component Engineer I to our team. If you enjoy working in a startup environment and are passionate about developing leading-edge electronics for satellites, spacecraft, and aerospace systems, we would like to hear from you.
In this position, you will be a key member of our product development team, leading the parts and component selection, qualification, failure root-cause analysis, standardization, vendor evaluations, and performance verification efforts. The ideal candidate is experienced in EEE components engineering for commercial space applications.
Qualified candidates will have ample growth opportunities, with the potential to build our company and processes through technical leadership roles or broader functional management roles.
JOB DUTIES AND RESPONSIBILITIES
  • Act as CesiumAstro's technical representative with customers to define testing and qualification requirements for all EEE parts.
  • Work all aspects of high-reliability EEE parts selection, standardization, qualification, and performance verification on a growing team.
  • Develop a roadmap for state-of-the-art components, working with the engineering design team for an effective product upgrade strategy while balancing cost and schedule
  • Provide EEE part expertise and support on aerospace programs, reviewing customer documents and aligning their needs with the company's product lines.
  • Evaluate components for compliance to industry requirements such EEE-INST-002, AEC, TOR, JEDEC, and others.
  • Author parts plans and process definition documents for internal and external use.
  • Write and review Engineering Change Orders (ECOs) to component-level procurement and test control documents.
  • Develop process improvements for streamlined component-level ECOs review and adjudication.
  • Experience building relationships with space part suppliers.
  • Review screening and test data received from manufacturers and test laboratories for compliance to specifications, purchase order requirements, and program contracts.
  • Interface internally with design engineers, reliability engineers, and quality engineers in support of risk mitigation and product development review efforts.
  • Prepare Non-Standard Parts Approval Requests (NSPARs) and Source Control Drawings (SCDs).
  • Perform bill-of-materials cost analysis, components research and obsolescence mitigation, and supplier audits.

JOB REQUIREMENTS AND MINIMUM QUALIFICATIONS
  • Bachelor's degree or higher in Electrical Engineering or a related discipline.
  • Minimum 8 years of relevant prior experience as a component engineer.
  • Knowledge of component selection, qualification, screening and derating for military and aerospace.
  • Familiar with management of new part requests, part objects, and part attributes in a Product Lifecycle Management System
  • Direct experience with parts plans for high-volume satellite constellations, evaluating parts screening and qualification in the context of high-volume constellation performance.
  • Excellent communication and interpersonal skills.
  • Strong desire to change an industry and disrupt incumbent players.
  • Sense of urgency, with the ability to work independently under agile development timelines.
  • Willingness to learn and work in both a support capacity and as a lead on differing functions.

PREFERRED EXPERIENCE
  • Demonstrated technical leadership in component engineering by mentoring junior component engineers and educating designers within your area of expertise.
  • Participate in failure analysis investigations ofdefective components and author failure analysis reports as required.
  • Knowledge and working familiarity with key reliability analyses for space mission hardware (prediction, derating, FMECA, WCA).
  • Experience with radiation effects on electronics (TID, SEE) and common mitigation techniques.
  • Knowledge and working familiarity with key materials and process requirements for tin whisker mitigation
  • Experience with components in ground or air applications
  • Knowledge of EEE component manufacturing processes.
  • Experience with a breadth of electronic component types, including RF devices and FPGAs.

$142,000 - $189,500 a year
CesiumAstro considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate's work experience, education/training, and key skills. Full-time employment offers include company stock options and a generous benefits package including health, dental, vision, HSA, FSA, life, disability and retirement plans.
CesiumAstro is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
Please note: CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to CesiumAstro team members will be considered property of CesiumAstro, and we will not be obligated to pay any referral fees.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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