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Sas Data Scientist Jobs (NOW HIRING)

The Data Scientist role involves leading predictive modeling and statistical analysis across ... Responsibilities : • Build and deploy machine learning models using R, Python, SAS, and SQL. • ...

Required : • R • SASData Scientist • moduler • Hadoop • data scientist Company : Saxon Global is an IT consulting and engineering solution company. Founded in 2008, the company is ...

They are seeking a Data Scientist to work on data extraction, processing, and applying machine ... SAS and/or R • Knowledge of building and applying machine learning or predictive modeling • ...

Data Engineer

Atlanta, GA · On-site

$87K - $157K/yr

Partner with business analysts, data scientists, and application teams to ensure functional equivalence between SAS and Databricks solutions. * Optimize Spark jobs for performance, partitioning, and ...

NY · On-site

$111.89 - $155.92/hr

The Senior Data Scientist is expected to approach all responsibilities with rigor and scientific ... Support preparation of analysis-ready datasets for NONMEM or other modeling tools using SAS, R, or ...

New

... SAS) - Strong analytical thinking and problem-solving skills - Excellent communication skills, with the ability to present complex data insights clearly - Ability to work independently and ...

Data scientist Duration: Full-time with benefits+ Bonus Location: Penn Plaza, Newark, NJ Direct ... Experience and in-depth knowledge of the SAS Enterprise Miner, Python programming language or ...

... SAS) - Strong analytical thinking and problem-solving skills - Excellent communication skills, with the ability to present complex data insights clearly - Ability to work independently and ...

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Sas Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do sas data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for sas data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a SAS data scientist?

A SAS Data Scientist is a data professional who uses SAS (Statistical Analysis System) to analyze, interpret, and model large datasets for insights and decision-making. They apply statistical methods, machine learning techniques, and data visualization tools to solve business problems. Their role involves data cleaning, transformation, and predictive modeling using SAS software. SAS Data Scientists work in industries like finance, healthcare, and marketing, leveraging data to optimize strategies and improve outcomes. Strong programming skills in SAS, SQL, and sometimes Python or R are essential for this role.

What does a SAS data scientist do?

As a Sas Data Scientist, your daily responsibilities might include cleaning and preparing large datasets, performing statistical analyses, and creating predictive models using SAS tools. You will often collaborate with business analysts, IT teams, and stakeholders to define data requirements and translate findings into actionable strategies. Additionally, you may create reports and data visualizations to present insights to non-technical audiences. Many roles also involve monitoring model performance, optimizing existing processes, and ensuring data quality standards are met, making this a dynamic and impactful position within the organization.

What are the key skills and qualifications needed to thrive as a SAS data scientist?

To thrive as a Sas Data Scientist, expertise in statistical analysis, data modeling, and programming with SAS software is essential, often supported by a degree in statistics, mathematics, computer science, or a related field. Familiarity with SAS Base, SAS Enterprise Guide, and data visualization tools, along with certifications such as SAS Certified Data Scientist, are highly valued. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals collaborate with cross-functional teams and convey insights to stakeholders. These skills are crucial for transforming raw data into actionable business intelligence and driving effective data-driven decisions.

More about Sas Data Scientist jobs
What cities are hiring for Sas Data Scientist jobs? Cities with the most Sas Data Scientist job openings:
What are the most commonly searched types of Sas Data Scientist jobs? The most popular types of Sas Data Scientist jobs are:
What states have the most Sas Data Scientist jobs? States with the most job openings for Sas Data Scientist jobs include:
Infographic showing various Sas Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

RELX

Minneapolis, MN • On-site

Full-time

Re-posted 26 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.