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Linear Regression Jobs (NOW HIRING)

TecTammina

Statistical Modeler

San Antonio, TX

$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 ...

NxT Level

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 ...

NxT Level

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 ...

omega solutions, Inc.

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 ...

SynergisticIT

Entry Level Data Scientiest

Manchester, NH · On-site

$16.50 - $22.25/hr

... Linear Regression, Logistic Regression, Decision Tree Unsupervised/Clustering algorithms NLP models, Deep Learning models for image classification Desired Candidate Profile Skills required: Hands on ...

Evolwing LLC

Business Systems Analyst

Cumming, GA · On-site

$70 - $90/hr

Statistical methods such as linear regression, classification, model selection, decision trees, random forests, SVM, KNN, and hyperparameter tuning are also applied. Managing Databricks for advanced ...

TransUnion

Advisors, Consulting Services

$108K/yr

... Linear Regression, and dplyr. Job Requirements Master's degree in Marketing, Marketing Analytics, Marketing Intelligence, Data Analytics, or a related field plus 4 years of experience in data ...

PenFed Credit Union

Manager, Decision Science

Mclean, VA · Hybrid

$97K - $191K/yr

Applied experience with Logistic Regression, Linear Regression, Machine Leaning, and Survival Analysis required. * Advanced programming skills to include knowledge of statistical programs (e.g. SQL ...

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How much do linear regression jobs pay per hour?

As of Aug 29, 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.

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 are the key skills and qualifications needed to thrive as a data analyst specializing in linear regression?

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 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?

AspectLinear RegressionData Analyst
Primary RoleBuilds statistical models to predict outcomesAnalyzes data to identify trends and support decision-making
Skills RequiredStatistics, programming (Python/R), data modelingData visualization, Excel, SQL, basic statistics
Work EnvironmentData science teams, research projectsBusiness units, reporting, dashboards
CertificationsData Science, Machine Learning certificationsData 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.

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What states have the most Linear Regression jobs?

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What job categories do people searching Linear Regression jobs look for?

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Linear Regression jobs near you
Infographic showing various Linear Regression job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, 8% Temporary, and 17% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $106,997 per year, or $51.4 per hour.

Senior Budget Analyst - 20060371

Ohio Department of Taxation

Reynoldsburg, OH • On-site

$70K - $91K/yr

Full-time

Posted 11 days ago

Job description

The Division of Administration provides overall leadership and administrative support for all Divisions. The Division includes the Office of Director, Communications, Fiscal, Human Resources, IT, Legal and Legislative Affairs.

Senior Budget Analyst Job Duties

        Operates with considerable independence; responsible for identifying issues, investigating discrepancies, and resolving financial problems while supporting agency fiscal operations.

        Develops, manages, and monitors operating, capital, and grant budgets to ensure compliance with state and federal requirements and alignment with approved spending plans.

        Develop, manage, and monitor program budgets, including allotments, cash flow, appropriations, expenditures, and encumbrances to ensure spending remains within approved targets.

        Develop grant budgets; perform fiscal monitoring of approved grants; maintain quarterly and annual federal and state financial reporting; and complete grant closeout procedures.

        Ensure accurate entry of fiscal data into systems including Ohio Buys, Pcard Reconciliation Portal, OAKS, and federal systems such as ASAP

Preferred Qualifications:

        Experience with public sector budget and grant funding requirements

        Experience with financial systems (e.g., Ohio Administrative Knowledge System (OAKS), Business Intelligence (BI), Ohio Buys, Pcard portal)

        High level of accuracy and attention to detail when reviewing financial data, coding, compliance requirements, and reporting.

        Proficient in excel for reporting and financial analysis

        Ability to work independently with minimal supervision

4 yrs. experience in budgeting that included fiscal management & control involving use of quantitative/statistical analysis (e.g., probability statistics, linear regression, multiple variable regression, computer assisted regression analysis models, trend analysis, forecasting cost benefit analysis).
-Or completion of undergraduate core program in accounting, public finance, public administration or business administration; 24 mos. exp. in fiscal management & control involving use of quantitative/statistical analysis (e.g., probability statistics, linear regression, multiple variable regression, computer assisted regression analysis models, trend analysis, forecasting cost benefit analysis).
-Or completion of graduate core program in accounting, public finance, public administration or business administration; 12 mos. exp. in fiscal management & control involving use of quantitative/statistical analysis (e.g., probability statistics, linear regression, multiple variable regression, computer regression analysis models, trend analysis, forecasting cost benefit analysis).
-Or 12 mos. exp. as Budget Analyst, 63261.
-Or equivalent of Minimum Class Qualifications for Employment noted above.
Job Skills: Accounting and Finance

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