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Sas Predictive Modeling Jobs (NOW HIRING)

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 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 ...

Managing Actuary

West Des Moines, IA · On-site

$114K - $134K/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 ...

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

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

Directors

Manhattan, NY · On-site

$145K - $175K/yr

... financial models, predictive models, and management reporting solutions. Provide technical ... SAS; querying and analyzing data in cloud-based environments such as Snowflake; developing ...

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 ...

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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 Jul 11, 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 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 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.

Is SAS a good job?

A job as a SAS Predictive Modeler involves developing statistical models using SAS software, often requiring skills in data analysis, programming, and understanding of business problems. It is generally considered a stable and well-paying role in data analytics and data science fields, with opportunities across various industries. The job typically requires proficiency in SAS, statistical knowledge, and sometimes certifications, and can involve working in team environments or independently depending on the organization.

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.

Is predictive modeling difficult?

Predictive modeling as a role involves analyzing data, selecting appropriate algorithms, and validating models, which can be complex depending on the project's scope and data quality. It requires skills in statistics, programming (such as Python or R), and understanding of business context, making it a challenging but manageable field for those with relevant training. Continuous learning and experience help improve proficiency in this role.

What is SAS predictive analytics?

SAS predictive analytics involves using SAS software to analyze data and build models that forecast future outcomes. It typically requires skills in statistical analysis, data management, and programming within the SAS environment. Professionals in this field often work with tools like SAS Enterprise Miner and may hold certifications such as SAS Certified Data Scientist.

What skills are needed for predictive analytics?

Predictive modeling roles require strong skills in statistical analysis, data manipulation, and machine learning techniques. Proficiency in programming languages such as Python or R, experience with data visualization tools, and knowledge of databases are essential. Additionally, understanding of business context and domain expertise enhances model effectiveness.

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:
What job categories do people searching Sas Predictive Modeling jobs look for? The top searched job categories for Sas Predictive Modeling jobs are:
Infographic showing various Sas Predictive Modeling job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $112,568 per year, or $54.1 per hour.
RAKOF 402 DATABASE DEVELOPER

RAKOF 402 DATABASE DEVELOPER

Compunnel

Princeton, NJ • On-site

Full-time

Medical, Dental, Retirement

Posted 14 days ago


Job description

Job Description:
Analyze, design, develop, review, test and implement specific solutions using cutting edge technologies and SAS suite of products in Data Warehousing and Business Intelligence. Involve in data mining, predictive modeling, statistical analysis. Install, configure, coordinate, administer, maintain and support Enterprise Business Intelligence Platform on Unix using SAS Grid Manager/SQL/DB2 and other related technologies.
Job Requirements:
Bachelor's Degree and six years experience will be considered equivalent to Master's Degree and one year exp. Travel Required.
Job Benefits: Health/Dental Benefits, Retirement Benefits, Other Benefits
Apply by Email: Attn: Vinayak Rampalli
Compunnel Software Group, Inc.
4390 Route 1 North, Suite 302
Princeton, NJ 08540
Email ID: jobapplication@compunnel.com
Website: www.compunnel.com

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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