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Sas Predictive Modeling Jobs (NOW HIRING)

RELX

Data Scientist

Minneapolis, MN · On-site

Required : • Computer Science, Statistics, Mathematics, or related field • Experience in predictive modeling • Proficiency in SAS, R, Python, and Big Data technologies • Strong communication ...

Sonsoft Inc

SAS Architect

Warren, NJ · On-site

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 ...

Sonsoft Inc

Senior SAS Architect

Warren, NJ · On-site

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 ...

Jobtailor

NY · On-site

$120 - $180/hr

At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)

ClifyX

AI ML Data Scientist

Cary, NC · On-site

The role requires expertise in predictive modeling and big data analytics, with a focus on ... SAS Enterprise Miner, R Programming, Python, Spark • Statistical & Data Management Packages ...

Mindlance

Data Scientist

Franklin Lakes, NJ · On-site

... SAS and/or R • Knowledge of building and applying machine learning or predictive modeling • Strong problem solving skills • Exceptional ability to communicate and present findings clearly to ...

TecTammina

Data Scientist

Roseland, NJ · On-site

... 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 ...

TecTammina

Data Scientist

Roseland, NJ · On-site

... 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 ...

SIERTEK LTD

Senior Analyst* (26.23)

Bath, OH · On-site

$90 - $130/hr

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

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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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What states have the most Sas Predictive Modeling jobs?

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What job categories do people searching Sas Predictive Modeling jobs look for?

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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.

Data Scientist

RELX

Minneapolis, MN • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
LexisNexis Risk Solutions is a key partner in risk assessment, offering solutions to enhance revenue and operational efficiency. The Data Scientist role involves leading predictive modeling and statistical analysis across various industries to deliver impactful insights and scalable solutions.
Responsibilities:
• Build and deploy machine learning models using R, Python, SAS, and SQL.
• Develop cloud-based analytic solutions and integrate them into enterprise systems.
• Analyze large datasets to uncover insights and support product development.
• Collaborate with stakeholders to validate scoring code and ensure model accuracy.
• Document methodologies and follow best practices in statistical modeling.
Qualifications:
Required:
• Computer Science, Statistics, Mathematics, or related field
• Experience in predictive modeling
• Proficiency in SAS, R, Python, and Big Data technologies
• Strong communication skills and ability to work cross-functionally
Preferred:
• Fraud analytics experience is a plus.
Company:
RELX is a provider of information-based analytics for professional and business customs. Founded in 1993, the company is headquartered in London, GBR, with a team of 1001-5000 employees. The company is currently Late Stage.

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