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Linear Regression Jobs (NOW HIRING)

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 ...

Java, Python, C++ or C. • Proven and demonstrable experience with at least three of the following: neural networks, logistic regression, non-linear regression, random forests, decision trees ...

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 ...

Java, Python, C++ or C. • Proven and demonstrable experience with at least three of the following: neural networks, logistic regression, non-linear regression, random forests, decision trees ...

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 ...

Regression, Classification, Clustering, (Decision Trees, SVM, Linear Regression, Logistic Regression, KNN, KMeans) Visualization: Matplot Systems: UNIX, Windows Soft: Integrity, strong verbal and ...

Java, Python, C++ or C. • Proven and demonstrable experience with at least three of the following: neural networks, logistic regression, non-linear regression, random forests, decision trees ...

Java, Python, C++ or C. • Proven and demonstrable experience with at least three of the following: neural networks, logistic regression, non-linear regression, random forests, decision trees ...

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Linear Regression information

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How much do linear regression jobs pay per hour?

As of Aug 6, 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 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 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 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.

More about Linear Regression jobs
What states have the most Linear Regression jobs? States with the most job openings for Linear Regression jobs include:
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.

$73K - $97K/yr

Full-time

Posted 15 days ago


Job description

Office of Fiscal and Monitoring Services 

The Office of Fiscal and Monitoring Services (OFMS) Fiscal Services Division is responsible for developing, implementing, and monitoring all the Agency's budget activities. This encompasses the biennial budget process, annual budget implementation, and projecting federal budget estimates. The Division is also responsible for the management of the Agency's revenue, disbursements and financial obligations as well as performing daily federal cash draws, reconciles and reports on federal grant status. Learn more about the Office by visiting the ODJFS OFMS webpage. 

What You Will Do

As a Senior Budget Analyst in the Budget Bureau, you're eager to gain in-depth knowledge of how ODJFS programs work and use that insight to make sound, timely budget decisions. In this role, you'll manage complex fiscal and budget work, build trusted relationships with program areas, and work on projects that strengthen agency operations. 

Duties include, but are not limited to:

  • Plan and manage budgets for assigned program areas (operating, capital, and grant funding), including allotments and cash flow.

  • Forecast and monitor appropriations, expenditures, encumbrances, and utilization to stay within targets and compliance requirements.

  • Analyze spending patterns and recommend fund transfers so accounts can meet obligations without service interruptions.

  • Build grant specific spending plans using data from multiple sources; align plans with federal and state rules.

  • Create and present reports (tables, charts, visuals) that convert complex data into clear insights tailored to the audience.

  • Investigate variances (actuals vs. estimates), identify drivers, and recommend corrective actions.

  • Budget Exceptions

  • Agency Control: Clear purchase order (PO)/Voucher/Paycard/Travel errors. Budget transfers need to be completed in the morning when possible.

  • Allotments: Submit journal entries according to appropriation line item (ALI) assignment list.

  • OhioBuys pending items: Review and approve daily.

  • Payroll Errors: Wait for Cost Management.

  • Journal Voucher Adjustment as needed.

  • Partner with program areas to understand operations, emerging needs, and the impact of policy or volume changes on budgets.

  • Contribute to process improvements and special projects that increase accuracy, speed, and transparency in the Budget Bureau.

  • Prepare budget meeting materials with program office.

Preferred Skills:

  • Fiscal analysis across multiple data sources; ability to research, collate, classify, and analyze information to draw valid conclusions.

  • Forecasting methods (trend analysis, cash flow analysis) and skill comparing actual vs. estimated expenditures.

  • Report development with clear narratives and visuals tailored to the audience.

  • Independence and prioritization: You manage your workload and deliver to deadlines with minimal oversight. 

  • OAKS BI reporting experience (or comparable ERP/BI reporting) and strong Excel skills; familiarity with visuals (e.g., charts in PowerPoint).

  • Communication: Ability to present complex data simply and engage partners constructively. 

  • Experience with public sector budgets, grant funding, or human services programs.

  • Exposure to variance investigation, fund transfers, or allotment planning at a portfolio level.

  • Experience building process improvements, templates, or standard methodology. 

Schedule: Full time.

Hours: Standard workdays are Monday through Friday. Hours are between 7:00 a.m. and 6:00 p.m.

Location: This position will be headquartered at the James A. Rhodes State Officer Tower - 30 E. Broad Street, Columbus, OH 43215

Travel: Occasional travel within the state of Ohio.

Position Number: 20038697. This vacancy has been reposted. All interested candidates must apply to this job announcement to be considered.

The candidate, at minimum, must have the following:

Option 1:

  • 4 years' 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).

Option 2:

  • Completion of graduate core program in accounting, public finance, public administration or business administration;
  • AND 12 months' experience 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). 

Option 3

  • Completion of undergraduate core program in accounting, public finance, public administration or business administration;
  • AND 24 months' experience 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).  

Option 4

  • 12 months' experience as Budget Analyst, 63261. 

Option 5:

  • Equivalent of minimum class qualifications for employment noted above.

Tips For Your Application

When completing the different sections of this application, be sure to clearly describe how you meet the minimum qualifications outlined in this job posting. We cannot give you credit for your Work Experience and Education & Certifications if you do not provide that information in your online application. Information in attached resumes or cover letters must be entered into your application in the appropriate Work Experience or Education & Certification sections to be considered.

Pay Information

This position is in the State of Ohio's OCSEA/AFSCME Pay Schedule, Pay Range 33. Unless required by legislation or union contract, starting salary will be the minimum salary of that pay range (step 1, currently $34.53 per hour). These ranges provide a standardized pathway for pay increases. With continued employment, new hires move to the next step in the range after 6 months and annually thereafter. Cost of Living Adjustments increase wages in these ranges each fiscal year. The current step progression wages are in the table below.

Pay Range 33

Step 1

Step 2

Step 3

Step 4

Step 5

Step 6 

Step 7 

Step 8  

Step 9  

Hourly

$34.53

$36.20

$38.01

$39.86

$41.81

$43.90

$46.00

$48.28

$50.66

Annual

$74,822

$75,296

$79,061

$82,909

$86,965

$91,312

$95,680

$100,422

$105,373

Months of Employment

At Hire

6 Months

18 Months

30 Months

42 Months

54 Months 

66 Months 

78 Months 

90 Months