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Sas Data Scientist Jobs (NOW HIRING)

RELX

Data Scientist

Minneapolis, MN · On-site

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. • ...

Droisys

Data Scientist

Fort George G Meade, MD · On-site

Data ScientistIntroduction We are looking for a Data Scientist to join our team. The ideal ... Experience with specialized software such as MATLAB, SQL, SAS, Python, GitHub, R or Tableau

STOPSO

Senior Data Scientist

Washington, DC · On-site

$115K - $120K/yr

The Senior Data Scientist supports data engineering, analytics, data processing, workload ... Python scripts, R modules, SQL solutions, SAS processes, Stata-based analytical support * Create ...

New

Mindlance

Data Scientist

Franklin Lakes, NJ · On-site

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 • ...

1872 Consulting

Data Scientist

Tempe, AZ · On-site

Job Summary : 1872 Consulting is seeking a Data Scientist to support card-related insights and ... SAS/Anaconda and SQL preferably through Oracle PL/SQL. • Experience transform business ...

Integrated Resources INC

Data Scientist

Newark, NJ · On-site

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 ...

TecTammina

Data Scientist

Roseland, NJ · On-site

Experience in R/SAS for data cleaning & manipulation Experience in Claims data processing. Experience in Statistical Modeling Qualifications Bachelor's degree in Computer Science or related field ...

TecTammina

Data Scientist

Roseland, NJ · On-site

Experience in R/SAS for data cleaning & manipulation Experience in Claims data processing. Experience in Statistical Modeling Qualifications Bachelor's degree in Computer Science or related field ...

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How much do sas data scientist jobs pay per year?

As of Sep 15, 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.

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Sas Data Scientist jobs near you
Infographic showing various Sas Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Minneapolis, MN • On-site

RELX
Technology, Communication and Media • 10K+ employees
Learn more about RELXexternal

Full-time

Re-posted 2 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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