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Principal Component Analysis Jobs (NOW HIRING)

You've experience working with Machine Learning techniques (Support Vector Machines, Genetic Algorithms, Random Forests, K-Nearest Neighbor algorithm, Principal Component analysis etc.) * You've more ...

Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural Networks, Clustering, Principal Component Analysis, Factor analysis, etc * Demonstrated ...

Demonstrated experience and proficiency with data science techniques including (but not limited to) logistic regression, vector, natural language processing, principal component analysis, clustering ...

... Principal Component analysis etc.) Minimum 3 years of experience in building models (data cleaning, dependent variable selection, independent variable study and understanding, variable reduction ...

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Principal Component Analysis information

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$36.5K

$109.4K

$182K

How much do principal component analysis jobs pay per year?

As of May 30, 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:
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 (onsite)

Principal Component Engineer (onsite)

Raytheon Technologies

Cedar Rapids, IA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Date Posted:
2026-04-10
Country:
United States of America
Location:
US-IA-CEDAR RAPIDS-108 ~ 400 Collins Rd NE ~ BLDG 108
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance Type:
DoD Clearance: Secret
Security Clearance Status:
Active and existing security clearance required after day 1
At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.
Collins Aerospace has an immediate need for Principal, Electrical Component Engineer within the supply chain engineering team. This Engineer will assume the role of a Product Component Engineer (PCE) which serves as the technical resource to Design Engineering, Manufacturing, Program Management, Procurement, Obsolescence, Quality, and Supply Chain. A successful candidate will support all component lifecycle needs for programs (electrical, mechanical, materials, process specifications, etc) and work with the Collins Component Engineering Team for expert-level support as needed. A PCE is involved in the product design from New Product Introduction (NPI) to design obsolescence, improving the overall component health and producibility of the product.
Specific responsibilities may include consultation with design engineering on part selection, qualification of components, performing root cause investigation and corrective action implementation, addressing part shortages and obsolescence, and technology roadmap management.
This role may be based in Cedar Rapids, IA , Richardson, TX, Colorado Springs, CO or Windsor Locks, CT
What You Will Do:
  • Understand preferred technologies, sources of supply, and acceptance criteria for commodities used on assigned programs.
  • Apply techniques for the documentation and release of components, processes, and design guidelines associated with assigned programs.
  • Review Bills of Materials (BOM) to ensure maximum health (technology, life cycle, source of supply, etc)
  • Perform Failure and Root Cause Analysis and corrective action on assigned programs.
  • Identify, evaluate, and recommend new components or materials and manufacturers for new product requirements and for improving existing manufacturing process yields.
  • Analyze parametric data, preference codes, and obsolescence prediction data for components in assigned programs.
  • General technical support including activities associated with Bidding/Negotiating, Data Collection, and Analysis. Report Generation related to technical issues including but not limited to; Hazardous Material, fungus, shelf life, ESD, flammability, etc.
  • Connect design teams with Producibility and Design to Cost Functions to achieve minimum cost and optimal performance in Collins designs.
  • Take ownership of all regional parts related to local programs.
  • Use technical knowledge and skills to lead projects.
  • Must be willing and able to travel up to 10%

Provide technical assistance for programs related to:
  • Material verification resolution
  • Specification or drawing exceptions
  • Supplier Chain issues
  • Manufacturing related issues

Qualifications You Must Have:
  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience
  • The ability to obtain and maintain a U.S. government issued security clearance is required
  • U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Ability to hold a TOP SECRET DoD Clearance
  • 5+ years of experience interpreting engineering drawings and vendor component data sheets
  • 3+ years of experience working with component obsolescence
  • Knowledge of electrical principles and electronic components

Qualifications We Prefer:
  • Active SECRET DoD clearance with ability to obtain Top-Secret
  • Understand and follow processes and procedures for component management
  • Ability to demonstrate strong problem-solving skills and confidence in communicating with others to understand problems and work towards solutions.
  • Demonstrated customer service experience, working with both technical and non-technical individuals and leaders
  • Ability to manage multiple projects at one time

What We Offer:
Medical, dental, and vision insurance
Some of our competitive benefits package includes:
โ€ข Three weeks of vacation for newly hired employees
โ€ข Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option
โ€ข Tuition reimbursement program
โ€ข Student Loan Repayment Program
โ€ข Life insurance and disability coverage
โ€ข Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection
โ€ข Birth, adoption, parental leave benefits
โ€ข Ovia Health, fertility, and family planning
โ€ข Adoption Assistance
โ€ข Autism Benefit
โ€ข Employee Assistance Plan, including up to 10 free counseling sessions
โ€ข Healthy You Incentives, wellness rewards program
โ€ข Doctor on Demand, virtual doctor visits
โ€ข Bright Horizons, child and elder care services
โ€ข Teladoc Medical Experts, second opinion program
โ€ข And more!
Learn More and Apply Now:
Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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