Working knowledge of forecasting and data mining techniques , such as linear and non-linear regression analysis, neural networks or support vector machines * Strong programming and development skills ...
Working knowledge of forecasting and data mining techniques , such as linear and non-linear regression analysis, neural networks or support vector machines * Strong programming and development skills ...
Working knowledge of forecasting and data mining techniques , such as linear and non-linear regression analysis, neural networks or support vector machines * Strong programming and development skills ...
Working knowledge of forecasting and data mining techniques , such as linear and non-linear regression analysis, neural networks or support vector machines * Strong programming and development skills ...
Statistical Modeler
San Antonio, TX · On-site
$49.50 - $64/hr
... regression, linear and non-linear regression and multi-dimensional clustering. Interpret quantitative findings to draw relevant insight Good verbal and written communication skills Demonstrated ...
Statistical Modeler
San Antonio, TX · On-site
$49.50 - $64/hr
... regression, linear and non-linear regression and multi-dimensional clustering. Interpret quantitative findings to draw relevant insight Good verbal and written communication skills Demonstrated ...
Data analytics methods include linear regression, logistic regression, trees, text analytics, clustering, visualization, and optimization. Description: Adjunct faculty positions provide quality ...
Data analytics methods include linear regression, logistic regression, trees, text analytics, clustering, visualization, and optimization. Description: Adjunct faculty positions provide quality ...
Project Manager With Data Analytics
Dallas, TX · On-site
$47.75 - $64.50/hr
GLM multiple regression, logistic regression, log-linear regression, variable selection, etc. Experience working with and creating databases and dashboards using all relevant data to inform decisions.
Project Manager With Data Analytics
Dallas, TX · On-site
$47.75 - $64.50/hr
GLM multiple regression, logistic regression, log-linear regression, variable selection, etc. Experience working with and creating databases and dashboards using all relevant data to inform decisions.
... Linear Regression, Models (Tensor Flow), Business Intelligence and Analytics • Experience in Artificial Intelligence, Natural Language Processing, Machine Learning, Distributed Computing, Chatbot ...
... Linear Regression, Models (Tensor Flow), Business Intelligence and Analytics • Experience in Artificial Intelligence, Natural Language Processing, Machine Learning, Distributed Computing, Chatbot ...
Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation. Programming ...
Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation. Programming ...
Senior Machine Learning Engineer
Manhattan, NY · On-site
$133K - $176K/yr
Experience with various ML techniques and frameworks, such as data discretization, normalization, sampling, linear regression, decision trees, SVMs, and deep neural networks. * Familiarity with DL ...
Senior Machine Learning Engineer
Manhattan, NY · On-site
$133K - $176K/yr
Experience with various ML techniques and frameworks, such as data discretization, normalization, sampling, linear regression, decision trees, SVMs, and deep neural networks. * Familiarity with DL ...
Senior Machine Learning Engineer
Manhattan, NY · On-site
$133K - $176K/yr
Experience with various ML techniques and frameworks, such as data discretization, normalization, sampling, linear regression, decision trees, SVMs, and deep neural networks. * Familiarity with DL ...
Senior Machine Learning Engineer
Manhattan, NY · On-site
$133K - $176K/yr
Experience with various ML techniques and frameworks, such as data discretization, normalization, sampling, linear regression, decision trees, SVMs, and deep neural networks. * Familiarity with DL ...
Sr. Data Scientist
Santa Ana, CA · On-site
Regression, Classification, Clustering, (Decision Trees, SVM, Linear Regression, Logistic Regression, KNN, KMeans) Visualization: Matplot Systems: UNIX, Windows Soft: Integrity, strong verbal and ...
Sr. Data Scientist
Santa Ana, CA · On-site
Regression, Classification, Clustering, (Decision Trees, SVM, Linear Regression, Logistic Regression, KNN, KMeans) Visualization: Matplot Systems: UNIX, Windows Soft: Integrity, strong verbal and ...
Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation. Programming ...
Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation. Programming ...
Experience with statistical analysis of process data (generation and trending control charts, linear regression and multivariate analysis) SPECIAL JOB REQUIREMENTS * Ability to generate, manage ...
Experience with statistical analysis of process data (generation and trending control charts, linear regression and multivariate analysis) SPECIAL JOB REQUIREMENTS * Ability to generate, manage ...
Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation. Programming ...
Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation. Programming ...
DS with GEN AI
Murphy, TX · On-site
$14.25 - $18.50/hr
... Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc. • LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks ...
DS with GEN AI
Murphy, TX · On-site
$14.25 - $18.50/hr
... Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc. • LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks ...
DS with GEN AI
Plano, TX · On-site
$14.25 - $18.50/hr
... Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc. • LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks ...
DS with GEN AI
Plano, TX · On-site
$14.25 - $18.50/hr
... Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc. • LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks ...
Entry Level Data Scientiest
Los Angeles, CA · On-site
$18 - $24/hr
Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree * Unsupervised/Clustering algorithms * NLP models, Deep Learning models for image classification Desired Candidate ...
Entry Level Data Scientiest
Los Angeles, CA · On-site
$18 - $24/hr
Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree * Unsupervised/Clustering algorithms * NLP models, Deep Learning models for image classification Desired Candidate ...
Apply statistical and mathematical techniques, including logistic and linear regression, to solve business problems. Perform data analysis, feature engineering, model training, testing, and ...
Apply statistical and mathematical techniques, including logistic and linear regression, to solve business problems. Perform data analysis, feature engineering, model training, testing, and ...
... linear predictive (e.g. logistic) regression and machine learning Additional Information All your information will be kept confidential according to EEO guidelines.
... linear predictive (e.g. logistic) regression and machine learning Additional Information All your information will be kept confidential according to EEO guidelines.
Lead Forecasting Engineer
Toledo, OH · Remote
$104K - $138K/yr
Familiarity with basic statistics and regression algorithms (Experience with Microsoft Linear Regression in SQL Server is a plus) * Familiarity with C# and ASP.Net is a plus * Familiarity with ...
Quick apply
Lead Forecasting Engineer
Toledo, OH · Remote
$104K - $138K/yr
Familiarity with basic statistics and regression algorithms (Experience with Microsoft Linear Regression in SQL Server is a plus) * Familiarity with C# and ASP.Net is a plus * Familiarity with ...
... and linear regression, to solve business problems. • Perform data analysis, feature engineering, model training, testing, and validation. • Use Python to write clean, efficient, and well ...
... and linear regression, to solve business problems. • Perform data analysis, feature engineering, model training, testing, and validation. • Use Python to write clean, efficient, and well ...
Linear Regression information
See salary details
$11.78 - $17.07
0% of jobs
$17.07 - $22.36
0% of jobs
$22.36 - $27.64
0% of jobs
$27.64 - $32.93
3% of jobs
$32.93 - $38.22
4% of jobs
$43.07 is the 25th percentile. Wages below this are outliers.
$38.22 - $43.51
19% of jobs
$43.51 - $48.80
14% of jobs
The median wage is $51.60 / hr.
$48.80 - $54.09
18% of jobs
$58.40 is the 75th percentile. Wages above this are outliers.
$54.09 - $59.38
20% of jobs
$59.38 - $64.66
15% of jobs
$64.66 - $69.95
6% of jobs
$11
$51
$69
How much do linear regression jobs pay per hour?
As of Jul 8, 2026, the average hourly pay for linear regression in the United States is $51.44, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $59.38 per hour, depending on experience, location, and employer.
Is linear regression outdated?
Linear regression remains a fundamental statistical method used in data analysis and machine learning jobs. While newer models like decision trees and neural networks are popular for complex tasks, linear regression is still valuable for simple, interpretable predictions and baseline modeling. Proficiency in statistical tools like R or Python's scikit-learn is often required for these roles.
What are the key skills and qualifications needed to thrive as a Data Analyst specializing in Linear Regression, and why are they important?
To excel as a Data Analyst specializing in Linear Regression, you need a strong background in statistics, mathematics, and data interpretation, typically supported by a relevant degree in data science, mathematics, or a related field. Familiarity with statistical software and programming languages such as R, Python (with libraries like scikit-learn), and data visualization tools is essential. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting results and conveying insights to stakeholders. These competencies are crucial for accurately modeling relationships within data, making data-driven decisions, and providing actionable recommendations.
What is linear regression?
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to the observed data. It aims to find the best-fitting straight line (in simple linear regression) that predicts the value of the dependent variable based on the values of the independent variables. Linear regression is widely used in data analysis, forecasting, and machine learning for tasks such as predicting trends and estimating relationships between variables. It is one of the simplest and most interpretable techniques in statistics and predictive modeling.
What jobs pay $250 an hour?
In roles related to data analysis and machine learning, highly experienced data scientists or quantitative analysts using skills like linear regression can earn $250 an hour or more, especially as consultants or contractors. Such high rates are typically associated with specialized expertise, advanced degrees, and extensive industry experience, often in consulting firms or freelance work. These positions often require strong statistical knowledge, programming skills, and a proven track record of delivering value to clients.
What jobs use linear regression?
Jobs such as data analyst, data scientist, machine learning engineer, and quantitative researcher frequently use linear regression to analyze data, build predictive models, and inform decision-making. Proficiency in statistical tools like R or Python and understanding of data modeling are essential skills for these roles.
What are common challenges faced by professionals working with linear regression models in real-world data analysis?
One of the main challenges when applying linear regression in real-world scenarios is dealing with data that may not meet the assumptions of linearity, homoscedasticity, and normality of residuals. Additionally, real data often contains outliers or multicollinearity among predictors, which can skew results and reduce model reliability. Professionals typically spend significant time on data preprocessing, feature selection, and validating model performance. Collaboration with domain experts is crucial to ensure that chosen variables make sense and that model outputs are actionable for business or research decisions.
What is the difference between Linear Regression vs Data Analyst?
| Aspect | Linear Regression | Data Analyst |
|---|---|---|
| Primary Role | Builds statistical models to predict outcomes | Analyzes data to identify trends and support decision-making |
| Skills Required | Statistics, programming (Python/R), data modeling | Data visualization, Excel, SQL, basic statistics |
| Work Environment | Data science teams, research projects | Business units, reporting, dashboards |
| Certifications | Data Science, Machine Learning certifications | Data Analysis, Business Intelligence certifications |
While Linear Regression focuses on creating predictive models using statistical techniques, Data Analysts interpret data to generate insights and support business decisions. Both roles require analytical skills, but Linear Regression specialists often have a stronger background in statistics and programming, whereas Data Analysts focus on data visualization and reporting.
Is 40 too late for data science?
Age is not a barrier to becoming a data scientist or working in roles like linear regression analysis. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Experience, continuous learning, and practical skills are more important than age in this field.
More about Linear Regression jobs
What states have the most Linear Regression jobs? States with the most job openings for Linear Regression jobs include:
What job categories do people searching Linear Regression jobs look for? The top searched job categories for Linear Regression jobs are:
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Job description
Top-Tier High Frequency PropTrading Firm is seeking a Quantitative Researcher. Candidate will conduct research for the purpose of modeling and forecasting financial data in order to build high frequency trading models. The individual in this role will contribute extensively towards developing new trading strategies.
CANDIDATE QUALIFICATIONS:
CANDIDATE QUALIFICATIONS:
- Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks or support vector machines
- Strong programming and development skills in C++ in a Linux environment
- 5 + years experience developing statistical models in a trading environment
- Strong familiarity with Python, R, Matlab or S-plus
- Experience working with large datasets of historical price data
- Ability to collaborate intensively with other team members
- Excellent communication skills
**Excellent compensation package