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Sas Predictive Modeling Jobs (NOW HIRING)

AITHERAS, LLC

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 ...

AITHERAS, LLC

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 ...

SIERTEK LTD

Senior Analyst* (26.23)

Dayton, OH

$83K - $110K/yr

Strong understanding of statistical methodologies, predictive modeling, and program evaluation. * Proficiency with: * SAS * SAS Enterprise Guide * Microsoft Office Suite * Adobe Acrobat * Ability to ...

Aegis Corps

Risk Analyst

Washington, DC · On-site +1

We are seeking an experienced predictive risk modeler to perform risk assessment on FHA multifamily ... Perform all analytical and modelling work in SAS. * Recommend ways to streamline work processes ...

SIERTEK LTD

Senior Analyst* (26.23)

Dayton, OH · On-site

$83K - $110K/yr

Strong understanding of statistical methodologies, predictive modeling, and program evaluation. * Proficiency with: * SAS * SAS Enterprise Guide * Microsoft Office Suite * Adobe Acrobat * Ability to ...

Regional Finance

Manager Credit Risk

Plano, TX · On-site

Mines, models, analyzes large datasets, and utilizes predictive modeling techniques with an ... Advanced programming skills in SAS and SQL. * Moderate to Expert level skills in Microsoft Office ...

PwC South Africa

$99 - $232/hr

Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS). * Proficiency in data validation and risk ...

Regional Finance

Manager Credit Risk

Plano, TX · On-site

Mines, models, analyzes large datasets, and utilizes predictive modeling techniques with an ... Advanced programming skills in SAS and SQL. * Moderate to Expert level skills in Microsoft Office ...

TecTammina

Statistical Modeler

San Antonio, TX · On-site

$49.50 - $64/hr

Strong background in statistical modeling and experience with statistical tools such SAS Enterprise Guide, SAS Enterprise Miner, SASS or SPSS. Working with other statisticians to build predictive ...

SIERTEK

Senior Analyst*

Dayton, OH · On-site

$82K - $108K/yr

Strong understanding of statistical methodologies, predictive modeling, and program evaluation. * Proficiency with: * SAS * SAS Enterprise Guide * Microsoft Office Suite * Adobe Acrobat * Ability to ...

Jobtailor

Senior Data Scientist

Linthicum, MD · On-site

$120 - $180/hr

Ten years of experience programming with data analysis software such as R, Python, SAS, or MATLAB ... Predictive modeling * Data quality validation * Pipeline monitoring * Data transformation * Data ...

Pinnacol Assurance

Actuary

Denver, CO · On-site

$119K - $141K/yr

Python, R, or SAS for predictive modeling, statistical analysis, and workflow automation (preferred). * Analytical & Critical Mindset: Strong problem-solving skills, attention to detail, and sound ...

New

Globe Telecom, Inc.

Data Science Manager

Globe, AZ · On-site

Design, engineer, and validate features needed for predictive models and advanced analytics * Build ... Statistical Analysis: advanced usage of off-the-shelf tools such as R, SAS, SPSS, Weka and other ...

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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.
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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.

Principal Business Intelligence Analyst

HAP (Health Alliance Plan)

Detroit, MI • On-site

Full-time

Re-posted 7 days ago

Job description

Responsible for gathering data, generating reports, and providing actionable interpretation of information to customers; work with and present information to customers at all levels, including executives, physicians, clinical staff, peers, and external oversight/regulatory bodies; develop comprehensive routine and ad-hoc reports as needed; implement new or improved reporting processes to support strategic goals and key operations; fulfill complex requests and provide clarity in ambiguous situations regarding data and reports; tell a story with data insights, and provide decision making support to health care leaders based on compelling evidence; work collaboratively with leaders and teams to understand how data solutions can make a positive impact; consult, design metrics/reports, and build solutions as required; research, review, and analyze the effectiveness and efficiency of existing reports procedures in order to develop strategies for enhancing and further leveraging the processes; utilize and apply knowledge of SQL Server, business intelligence strategies and roadmaps, Cerner, ETL frameworks, Python, data visualization tools, predictive modeling, SAS, machine learning models, Power BI, Tableau, and Lean Six Sigma methodologies to perform assigned duties; document process flows and ensure they are monitored for accuracy and quality; provide end-user training on existing tools and participate in webinars and other educational resources to enhance understanding of current developments in healthcare environment; create recommendations for improving work efficiency and promoting quality; apply statistical concepts and relay findings, resulting in actionable information; and serve as a liaison between Analytics and Business leaders.  
Location: Detroit, Michigan and multiple undetermined worksites throughout the US
"DNS" 
#LI-DNI"

Education: Bachelor's Degree in Computer Science, Management Information Systems, Mathematics, Statistics, Data Science, or a related field of study (will accept equivalent foreign degree)
Training:  None;
Experience: Five (5) years in the position above, as a Health Systems Reporting and Analytics Lead, as a Data Management Consultant - Analytics, as a BI and Visualization Developer, as a Senior Business Analyst, Team Leader Business Analytics, as a Consultant in Business Intelligence, as a Data Models Analyst and Biostatistician, or in a related occupation;
Other Requirements: Experience must include five (5) years use of all the following: SQL Server, business intelligence strategies and roadmaps, Cerner, ETL frameworks, Python, data visualization tools, predictive modeling, SAS, machine learning models, Power BI, Tableau, and Lean Six Sigma methodologies.  
Will also accept any suitable combination of education, training and/or experience. 
"DNS" 
#LI-DNI"

Additional Information
  • Organization: HAP (Health Alliance Plan)
  • Department: Data Analytics COE
  • Shift: Day Job
  • Union Code: Not Applicable

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