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Sas R Python Jobs (NOW HIRING)

RELX

Data Scientist

Minneapolis, MN · On-site

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 ...

Mercury Insurance Services, LLC

Product Analyst II

$76K - $142K/yr

Use tools such as SQL/SAS/R/Python, Excel, and PowerBI/Hex, and rating/competitive tools to develop and validate datasets used for performance, pricing, and segmentation analysis and visualizations.

Everest Clinical Research Corporation

$170 - $190/hr

Design, write, test, and maintain production-quality SAS, R and Python code (functions, packages, APIs, and utilities), serving as a hands-on technical contributor and lead developer on priority ...

MSD

Senior Statistical Programmer

North Wales, PA · On-site

Experience with at least one other software than SAS (e.g., R, Python, NonMem) * Good working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC) * Utilizes and ...

MSD

Senior Statistical Programmer

Rahway, NJ · On-site

Experience with at least one other software than SAS (e.g., R, Python, NonMem) * Good working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC) * Utilizes and ...

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How much do sas r python jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for sas r python 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 a sas r python job?

A SAS R Python job involves working with data analysis, statistical modeling, and machine learning using SAS, R, and Python programming languages. Professionals in this role typically manipulate and analyze large datasets, create predictive models, and generate reports for business insights. These jobs are common in industries like finance, healthcare, and research, where data-driven decision-making is crucial. Strong programming skills, knowledge of data structures, and experience with visualization tools are often required.

What are the key skills and qualifications needed to thrive in the sas r python position?

To excel in a Sas R Python role, you need strong analytical skills, experience in data manipulation and statistical modeling, and proficiency in SAS, R, and Python programming languages. Familiarity with databases, ETL processes, and data visualization tools, as well as certifications in relevant languages or data analysis, are often expected. Attention to detail, problem-solving abilities, and effective communication are important soft skills for collaborating with stakeholders and presenting data-driven insights. These skills and qualifications are critical for transforming complex data into actionable business solutions and driving informed decision-making.

What types of projects or analyses are commonly handled by professionals with SAS, R, and Python expertise?

Professionals skilled in SAS, R, and Python are often tasked with handling large-scale data analysis projects, developing predictive models, and automating data pipelines for business reporting or research. Their daily responsibilities may include cleaning and validating datasets, running statistical tests, building machine learning algorithms, and visualizing results for non-technical audiences. Collaboration with data engineers, business analysts, and decision-makers is common to ensure analyses align with organizational goals. This dynamic role offers the opportunity to continually learn new tools and techniques while making a measurable impact on company strategy.

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Sas R Python jobs near you
Infographic showing various Sas R Python job openings in the United States as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 67% In-person, and 33% 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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