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Sas Predictive Modeling Jobs (NOW HIRING)

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

... 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 ...

Predictive Analytics Modeler

Reno, NV · On-site

$54.50 - $70.75/hr

Develops and maintains predictive analytics/modeling efforts and uses of analytics/modeling ... Advanced SAS, R, Python skills or similar software, experience with Emblem is a plus. * Strong data ...

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 ...

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 ...

Good understanding of predictive analytics, data quality and data management concepts * Ability to ... Knowledge of Enterprise Miner, Model Manager, Base SAS code is a MUST. * Conceptual understanding ...

Good understanding of predictive analytics, data quality and data management concepts Ability to ... Miner, Model Manager, Base SAS code is a MUST Conceptual understanding of data profiling, fuzzy ...

Involve in data mining, predictive modeling, statistical analysis. Install, configure, coordinate, administer, maintain and support Enterprise Business Intelligence Platform on Unix using SAS Grid ...

... predictive modeling and consulting, excellent communication skills, and the ability to embrace AI ... Must be familiar with statistical modeling tools such as Emblem, DataRobot, Akur8, Earnix, or SAS.

... predictive modeling algorithms (e.g. Boosted Trees, k-nearest neighbor, SVM, Random forest, CART, etc.) and working with unstructured data (NLP/ Hadoop/ NoSQL database). Experience in R/SAS for data ...

... predictive modeling algorithms (e.g. Boosted Trees, k-nearest neighbor, SVM, Random forest, CART, etc.) and working with unstructured data (NLP/ Hadoop/ NoSQL database). Experience in R/SAS for data ...

Duties and responsibilities Mines, models, analyzes large datasets, and utilizes predictive ... Advanced programming skills in SAS and SQL. Moderate to Expert level skills in Microsoft Office ...

Managing Actuary

West Des Moines, IA · On-site

$114.40K - $134.50K/yr

Must have an expert understanding of computers, programming, SAS, Emblem, technology or company software and personal computer skills and acceptable ability to lead and apply predictive modeling ...

Performance/Data Analyst III

Washington, DC · On-site

$100K - $120K/yr

Build predictive models for investigative prioritization, case success probability, resource ... Experience with Tableau Server, Power BI, SAS, Alteryx, Palantir, i2 Analyst's Notebook, Neo4j ...

Performance/Data Analyst III

Washington, DC · On-site

$100K - $120K/yr

Build predictive models for investigative prioritization, case success probability, resource ... Experience with Tableau Server, Power BI, SAS, Alteryx, Palantir, i2 Analyst's Notebook, Neo4j ...

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Sas Predictive Modeling information

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How much do sas predictive modeling jobs pay per hour?

As of May 29, 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 are the key skills and qualifications needed to thrive as a SAS Predictive Modeling Specialist, and why are they important?

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 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 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.

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:
Infographic showing various Sas Predictive Modeling job openings in the United States as of May 2026, with employment types broken down into 44% Full Time, 25% Part Time, 29% Contract, and 2% Nights. Highlights an 59% Physical, 33% Hybrid, and 8% Remote job distribution, with an average salary of $112,568 per year, or $54.1 per hour.

Full-time

Posted 4 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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