While these are nonlinear physics-based component-type models, linear flight-dynamics models are also needed and are often developed using the CIFER (Comprehensive Identification from FrEquency ...
While these are nonlinear physics-based component-type models, linear flight-dynamics models are also needed and are often developed using the CIFER (Comprehensive Identification from FrEquency ...
Rotorcraft Flight-Dynamics Modeling and Simulation Engineer
Huntsville, AL · On-site
$100K - $135K/yr
While these are nonlinear physics-based component-type models, linear flight-dynamics models are also needed and are often developed using the CIFER (Comprehensive Identification from FrEquency ...
Rotorcraft Flight-Dynamics Modeling and Simulation Engineer
Huntsville, AL · On-site
$100K - $135K/yr
While these are nonlinear physics-based component-type models, linear flight-dynamics models are also needed and are often developed using the CIFER (Comprehensive Identification from FrEquency ...
Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...
Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...
Senior Data Scientist
Sykesville, MD · On-site
Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...
Senior Data Scientist
Sykesville, MD · On-site
Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...
Senior Data Scientist
Sykesville, MD · On-site
Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...
Senior Data Scientist
Sykesville, MD · On-site
Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...
Senior Data Scientist
Sykesville, MD · On-site
Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...
Senior Data Scientist
Sykesville, MD · On-site
Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...
Biostatistician / statistician
Andover, MA · On-site
... linear models, software applications such as JMP, Minitab and R, developing custom software code to perform special statistical calculations, preferably in pharmaceutical industry applications.
Biostatistician / statistician
Andover, MA · On-site
... linear models, software applications such as JMP, Minitab and R, developing custom software code to perform special statistical calculations, preferably in pharmaceutical industry applications.
Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...
Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...
Data Scientist
Fort George G Meade, MD · On-site
Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...
Data Scientist
Fort George G Meade, MD · On-site
Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...
Data Scientist
Fort George G Meade, MD · On-site
Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...
Data Scientist
Fort George G Meade, MD · On-site
Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...
Enterprise Risk Modeling - Cross Asset Quant
New York, NY · On-site
$160K - $250K/yr
Estimation of linear models, dimensionality reduction techniques e.g. Equity Factor Models, Principal Component Analysis, etc. * Sense of responsibility and integrity. Intellectual curiosity and ...
Enterprise Risk Modeling - Cross Asset Quant
New York, NY · On-site
$160K - $250K/yr
Estimation of linear models, dimensionality reduction techniques e.g. Equity Factor Models, Principal Component Analysis, etc. * Sense of responsibility and integrity. Intellectual curiosity and ...
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
Pricing Actuary
San Diego, CA · On-site
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
Pricing Actuary
San Diego, CA · On-site
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
Pricing Actuary
Plano, TX · On-site
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
Pricing Actuary
Plano, TX · On-site
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
Pricing Actuary
Alpharetta, GA · On-site
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
Pricing Actuary
Alpharetta, GA · On-site
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
Pricing Actuary
Omaha, NE · On-site
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
Pricing Actuary
Omaha, NE · On-site
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.
Demonstrated experience and understanding of statistical foundations and applied inferenceincluding:probability and estimation, study design, linear models/GLMs, multiple comparisons, resampling, and ...
Demonstrated experience and understanding of statistical foundations and applied inferenceincluding:probability and estimation, study design, linear models/GLMs, multiple comparisons, resampling, and ...
Linear Models information
See salary details
$52.5K - $65.6K
4% of jobs
$65.6K - $78.7K
17% of jobs
$80.6K is the 25th percentile. Wages below this are outliers.
$78.7K - $91.8K
29% of jobs
$91.8K - $104.9K
0% of jobs
$104.9K - $118K
2% of jobs
$118K - $131K
7% of jobs
$131K - $144.1K
7% of jobs
$151.1K is the 75th percentile. Wages above this are outliers.
$144.1K - $157.2K
16% of jobs
$157.2K - $170.3K
7% of jobs
$170.3K - $183.4K
5% of jobs
$183.4K - $196.5K
5% of jobs
$52.5K
$119.2K
$196.5K
How much do linear models jobs pay per year?
As of May 29, 2026, the average yearly pay for linear models in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Linear Models Analyst, and why are they important?
To thrive as a Linear Models Analyst, you need a strong background in statistics, mathematics, and data analysis, typically supported by a degree in a quantitative field. Proficiency with statistical software such as R, Python (with libraries like statsmodels or scikit-learn), and experience with data visualization tools are essential. Critical thinking, problem-solving, and effective communication are important soft skills for interpreting results and conveying insights to stakeholders. These skills and qualifications are crucial for accurately modeling real-world phenomena, driving data-driven decisions, and ensuring clear understanding across teams.
What are some common challenges faced by professionals working with linear models in data analysis roles?
Professionals working with linear models often encounter challenges such as ensuring that the data meets key assumptions like linearity, independence, and homoscedasticity. Handling multicollinearity among predictors can also complicate model interpretation and accuracy. Additionally, it is crucial to balance model simplicity with predictive power, especially when dealing with large datasets or real-world, messy data. Collaborating with domain experts and data engineers is often necessary to properly preprocess data and validate model outputs.
What are linear models?
Linear models are statistical or mathematical models that assume a linear relationship between input variables (predictors) and a single output variable (response). In these models, the effect of each predictor is additive and proportional, making them easier to interpret and analyze. Linear models are commonly used in regression analysis and can be extended to more advanced techniques like multiple linear regression and generalized linear models. They are foundational in fields like data science, economics, and engineering for making predictions and understanding relationships between variables.
What is the difference between Linear Models vs Data Analysts?
| Aspect | Linear Models | Data Analysts |
|---|---|---|
| Required credentials | Statistics, mathematics, or data science degrees; proficiency in statistical software | Statistics, data analysis, or related degrees; skills in data visualization and reporting |
| Work environment | Analytical, research-focused; often in tech, finance, or healthcare industries | Business or corporate settings; focus on interpreting data for decision-making |
| Employer usage | Developing predictive models, understanding relationships between variables | Interpreting data, creating reports, supporting business strategies |
Linear Models are statistical tools used to predict or understand relationships between variables, often requiring advanced mathematical skills. Data Analysts utilize these models among other techniques to interpret data and inform business decisions. While their roles overlap, Linear Models focus on model development, whereas Data Analysts focus on data interpretation and reporting.
More about Linear Models jobs
What job categories do people searching Linear Models jobs look for? The top searched job categories for Linear Models jobs are:
Rotorcraft Flight-Dynamics Modeling and Simulation Engineer
Analytical Mechanics AssociatesHuntsville, AL
$100K - $135K/yr
Full-time
Medical, Dental, Vision, Retirement
Posted 18 days ago
Job description
Job Description:
AMA provides technical support to the U.S. Army's Technology Development Directorate (TDD) at Redstone Arsenal in Huntsville, Alabama. This work supports the development, application, and advancement of high-fidelity modeling and simulation tools used in Army rotorcraft acquisition programs, both Future Vertical Lift (FVL) and enduring fleet upgrades.
Advanced flight-dynamics modeling and analysis tools such as Gen Hel and HeliUM are used to predict the responses of Army rotorcraft under various configurations and flight conditions and are often used for real-time simulation with a pilot in the loop. While these are nonlinear physics-based component-type models, linear flight-dynamics models are also needed and are often developed using the CIFER (Comprehensive Identification from FrEquency Responses) software tool developed and maintained by the Army. CIFER processes multi-axes input and output data, either from specifically planned flight test campaigns or from high-fidelity comprehensive analysis, to generate linear models needed for the design and optimization of flight controls and autonomy algorithms for Army rotorcraft. Flight-dynamics models, both physics-based and identified, play a critical role in reducing technical risk and informing Army rotorcraft design and acquisition decisions for both future vertical lift and for enduring fleet upgrades.
About the Project:
The Flight-Dynamics Modeling and Simulation Engineer will support Army rotorcraft engineering efforts through the development, improvement, and application of flight-dynamics models for both enduring fleet and future vertical lift, including models needed for real-time piloted simulations on NASA's Vertical Motion Simulator (VMS). Additionally, the position will support the development of flight-dynamics models for advanced and novel uncrewed rotorcraft configurations.
Work location will be at Redstone Arsenal in Huntsville, Alabama.
Pay for this position is approximately $100,000 - $135,000 per year, commensurate with experience, and includes a competitive benefits package.
Responsibilities:
Develop flight-dynamics models of modern vertical take-off and landing (VTOL) aircraft configurations, both crewed and uncrewed. Provide flight-dynamics modeling support to the Future Long Range Assault Aircraft (FLRAA) program office. Participate in FLRAA design reviews and keep abreast of flight-dynamics modeling needs for the FLRAA aircraft. Support the development, updating, and validation of both generic and specific physics-based models of the FLRAA tiltrotor. Develop proficiency with the HeliUM comprehensive modeling tool to enable the implementation of updates and enhancement needed to generate high-order linear models of advanced crewed and uncrewed vertical lift configurations. Develop proficiency with frequency-domain system identification techniques using CIFER needed to develop accurate linear models of modern and enduing configurations. Support an effort to develop a component-type model of the UH-60M based on an existing model of the UH-60A. Support the assessment and selection of the software development environment needed, the planning and implementation of the source code modifications, and the subsequent validation testing using flight data. Attend technical group meetings, branch meetings, design reviews, etc. and report project updates and activities. Communicate research results through technical presentations and written reports.Required Qualifications:
MS or PhD (preferred) in Aeronautics or Aerospace Engineering with experience in rotorcraft flight-dynamics modeling as part of research projects and activities (not coursework alone) is required. A candidate with a BS degree having had direct research experience with items 2 and 3 below will be considered. Direct research experience (not coursework alone) with flight-dynamics models such as HeliUM, GenHel, FORECAST, or equivalent is highly desirable. Direct research experience (not training alone) with frequency-domain system identification for linear model development using tools such as CIFER is highly desirable. Education or relevant experience in the following areas would be a plus: rotorcraft real-time simulation; system modeling using Simulink. Software skills desirable: FORTRAN, C, MATLAB, Simulink.This position requires U.S. Citizenship.
Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.
AMA is an Affirmative Action/Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.
About Analytical Mechanics Associates
Sourced by ZipRecruiter
Industry
Scientific research and development services
Company size
51 - 200 Employees
Headquarters location
Hampton, VA, US
Year founded
1962