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Sas R Python Jobs (NOW HIRING)

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.

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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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 ...

New

Johnson Controls

Senior Pricing Analyst

Milwaukee, WI · On-site

Use Excel, SAS, R, Python, SQL, and Tableauto synthesize large datasets, develop models, and turn analysis into actionable insights. * Build scalable and automated processesfor large-scale data ...

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How much do sas r python jobs pay per hour?

As of Jul 13, 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.

Are SAS skills in demand?

SAS skills remain in demand in industries such as healthcare, finance, and government for data analysis and reporting. Professionals with expertise in SAS, along with knowledge of programming languages like R or Python, are often sought after for data management and analytics roles. Certification in SAS can also enhance job prospects in this field.

Which Python job is in demand?

Data analyst, data scientist, and machine learning engineer roles that require Python skills are currently in high demand across various industries. These positions often require knowledge of libraries like Pandas, NumPy, and scikit-learn, and may prefer candidates with experience in cloud platforms and data visualization tools.

Is SAS similar to R or Python?

SAS is a proprietary software suite used for data analysis, while R and Python are open-source programming languages commonly employed for statistical computing and data science. SAS has a graphical user interface and specialized procedures, whereas R and Python offer greater flexibility and a wide range of libraries for data manipulation, modeling, and visualization. Job roles requiring SAS often also value knowledge of R or Python for more advanced or customizable analytics.

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.

What are the key skills and qualifications needed to thrive in the Sas R Python position, and why are they important?

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.

Can we use Python in SAS?

SAS R Python refers to integrating Python with SAS software, allowing users to run Python code within SAS environments or exchange data between the two. This integration enables data analysts and statisticians to leverage Python's libraries alongside SAS procedures for advanced analytics and automation. Skills in both SAS and Python are often required for such roles, and tools like SASPy facilitate this interoperability.
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SAS R Python jobs near you
Infographic showing various Sas R Python job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $112,568 per year, or $54.1 per hour.
SAS to Python / R Migration Developer

SAS to Python / R Migration Developer

Ignite IT

Suitland, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

The SAS to Python/R Migration Developer is responsible for hands-on conversion, testing, and validation of SAS analytical code into Python and/or R under the guidance of a migration architect. This role focuses on execution quality, code accuracy, and reproducibility.

This is a build-and-deliver role for someone who enjoys translating logic and making things work correctly.

Key Responsibilities

  • Convert SAS programs into Python and/or R code following defined standards
  • Translate:
    • SAS DATA steps
    • PROC SQL
    • Statistical PROCs
    • SAS Macros into Python/R functions or modules
  • Implement data ingestion, transformation, and analytics workflows
  • Perform side-by-side validation of SAS vs Python/R outputs
  • Debug discrepancies in calculations or statistical results
  • Write clean, maintainable, well-documented Python/R code
  • Develop unit tests and validation scripts
  • Optimize performance for large datasets
  • Collaborate closely with architects and data stakeholders
  • Participate in code reviews and knowledge transfer

Requirements

  • 4+ years of analytics or data engineering experience
  • Strong hands-on SAS programming experience
  • Strong proficiency in Python and/or R
  • Practical experience translating business logic across languages
  • Familiarity with:
    • Pandas / NumPy / SciPy or tidyverse / data.table
    • SQL and relational data concepts
  • Experience validating statistical and analytical outputs
Nice to Have
  • Prior participation in SAS migration projects
  • Experience with Git, CI/CD, and automated testing
  • Exposure to cloud-based analytics environments
  • Understanding of performance tuning in Python or R

Benefits

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Life insurance
  • Paid time off
  • Professional development assistance
  • Referral program
  • Tuition reimbursement
  • Vision insurance

Apply