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Sas Predictive Modeling Jobs (NOW HIRING)

TecTammina

SAS Lead

Hartford, CT · On-site

Support SAS predictive models and data refresh programs Analyze program results; identify data quality issues, issue root cause SAS program optimization; harden code, improve efficiency, automate ...

MDAEdge

SAS Administrator

Pittsburgh, PA · On-site

MDAEdge is seeking a highly skilled SAS Administrator and Architect with a strong finance ... Strong background in statistical analysis, forecasting, predictive modeling, and data mining. • ...

MDAEdge

SAS Admin and SAS Architect

Pittsburgh, PA · On-site

... predictive modeling, data mining • Solid grasp of systems, networking, and storage infrastructure • Hands-on experience installing SAS software and patches on UNIX environments • Bachelor's or ...

Tech Tammina

SAS Analyst

Orlando, FL

The preferred candidate will have experience working with or developing predictive models in SAS Enterprise Miner. Additional Information All your information will be kept confidential according to ...

Tech Tammina

SAS Analyst

Orlando, FL · On-site

The preferred candidate will have experience working with or developing predictive models in SAS Enterprise Miner. Qualifications Additional Information All your information will be kept confidential ...

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SAS Predictive Modeling information

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$8

$54

$77

How much do sas predictive modeling jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for sas predictive modeling in the United States is $54.12, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $59.86 per hour, depending on experience, location, and employer.

What is SAS predictive modeling?

SAS predictive modeling refers to the use of SAS (Statistical Analysis System) software to create statistical models that forecast future outcomes based on historical data. These models help organizations identify patterns, trends, and relationships within data to make informed decisions. SAS offers a suite of powerful analytical tools and procedures for tasks such as regression, classification, forecasting, and machine learning. Predictive modeling with SAS is widely used in industries like finance, healthcare, marketing, and insurance for risk assessment, customer segmentation, and more.

What are the key skills and qualifications needed to thrive as a SAS predictive modeling specialist?

To thrive as a SAS Predictive Modeling Specialist, you need a solid background in statistics, data analysis, and predictive modeling, typically supported by a degree in mathematics, statistics, or a related field. Proficiency in SAS software (such as SAS Enterprise Miner), familiarity with databases, and relevant certifications like SAS Certified Predictive Modeler are highly beneficial. Strong problem-solving skills, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills ensure accurate model development and interpretation, driving data-driven decision-making and business success.

What are some common challenges faced when implementing SAS predictive modeling solutions in a business setting?

One common challenge in SAS predictive modeling roles is ensuring data quality and consistency across large, complex datasets, which can significantly impact model accuracy. Another frequent obstacle is effectively communicating technical findings to non-technical stakeholders, making it crucial to translate predictive insights into actionable business recommendations. Additionally, integrating SAS models into existing business processes or IT systems can require close collaboration with IT teams and may involve troubleshooting compatibility or deployment issues. Successful candidates are often those who can balance technical expertise with strong problem-solving and communication skills.

What is the difference between Sas Predictive Modeling vs Data Scientist?

AspectSas Predictive ModelingData Scientist
Required CredentialsTypically requires SAS certifications, statistical or data analysis degreesOften requires degrees in computer science, statistics, or related fields; certifications like SAS or Python are common
Work EnvironmentPrimarily in analytics or data-focused teams within industries like finance, healthcare, or marketingIn diverse settings including tech, finance, healthcare, with broader responsibilities
Employer & Industry UsageUsed by companies leveraging SAS software for predictive analyticsUsed across industries for data analysis, machine learning, and data-driven decision making

While Sas Predictive Modeling focuses on building predictive models using SAS software, Data Scientists have a broader role involving data analysis, machine learning, and programming in various languages. Both roles require strong statistical skills, but Data Scientists often work with multiple tools and handle more diverse data tasks.

Are SAS predictive modeling skills in demand?

SAS predictive modeling skills are highly sought after in industries such as finance, healthcare, and marketing, where data analysis and forecasting are critical. Professionals with expertise in SAS, along with knowledge of statistical techniques and data management, often find strong job opportunities and competitive salaries.
More about SAS Predictive Modeling jobs

What states have the most Sas Predictive Modeling jobs?

States with the most job openings for Sas Predictive Modeling jobs include:

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The top searched job categories for Sas Predictive Modeling jobs are:

SAS Predictive Modeling jobs near you
Infographic showing various Sas Predictive Modeling job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $112,568 per year, or $54.1 per hour.

SAS Lead

TecTammina

Hartford, CT • On-site

Full-time

Re-posted 28 days ago

Job description

Company Description

First IT Solutions

Job Description

At least 4 years of experience using SAS with proven experience in the following areas: 

Support SAS predictive models and data refresh programs

Analyze program results; identify data quality issues, issue root cause

SAS program optimization; harden code, improve efficiency, automate, follow best practices

Experience developing SAS macros

Experience with statistical techniques and analysis

Intermediate to advanced SQL skills

Porting of SAS model to R 

Hands-on development mentality, with a willingness to troubleshoot and solve complex problems

Ability to work in team in diverse/ multiple stakeholder environment

Experience in Insurance domain 

Strong analytical skills 

Experience and desire to work in a Global delivery environment

Qualifications

Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

At least 4 years of hands on experience in Design, Development & Build activities in SAS Projects - MUST.

At least 2 years of experience in Project life cycle activities on DW/BI development and maintenance projects. 

Additional Information

Job Status: Full Time

Eligibility: EAD GC or GC or US Citizens

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Contact: 703-349-1214

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