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Sas R Python Jobs (NOW HIRING)

Atria Group LLC

Need Data Scientist

San Diego, CA

Java, Python, R, or related languages * 1-3+ years' experience manipulating large datasets and using databases (e.g. SAS, R, SQL, S-Plus, etc.) * 1-3+ years' experience with a general-purpose ...

Goldbelt, Inc.

Data Analyst II

$85K - $105K/yr

Statistical programming (SAS, R, SQL, Python) * Regression modeling and trend analysis * Data visualization and reporting (Tableau, Power BI) * CDC Surveillance and Reporting Systems * Database ...

New

MSR Cosmos

SAS Developer

Dallas, TX · On-site

SAS Developer Location: Dallas, TX (5 days onsite) Duration: Long Term Looking for 13+ years of ... Familiarity with other programming languages such as Python, R, or Java. * Experience with data ...

Apex Informatics

Data Analyst

Pasadena, CA · On-site

Pasadena, Ca 91101 Minimum three (3) years' of related work experience Experience using R, Python, SAS, and/or STATA Five (5) years' of work experience in a related field Experience with Kaiser ...

Goldbelt, Inc.

Bioinformatician

Atlanta, GA

Experience with SAS, R, Python, SQL * Surveillance pipeline development * Dashboarding tools (Power BI, Tableau, R Shiny) * Public health or CDC program support experience * *NOTE: Must be able to ...

Goldbelt, Inc.

Public Health Analyst

$85K - $105K/yr

Basic experience using statistical or data tools such as SAS, R, SQL, Python, Excel, or similar software. Preferred Qualifications: * 5+ years of experience supporting public health programs ...

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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.
Senior Data Scientist (2026 Start Date)

Senior Data Scientist (2026 Start Date)

Analysis Group

Boston, MA • On-site

$160K - $195K/yr

Other

Re-posted 14 days ago

Job description

Overview
About Analysis Group:
Make an impact at Analysis Group, where we provide our clients with thoughtful, pragmatic solutions to their most challenging business and litigation problems. Analysis Group is one of the largest economics consulting firms, with more than 1,500 professionals across 15 offices in North America, Europe, and Asia. Since 1981, we have provided expertise in economics, finance, health care analytics, and strategy to top law firms, Fortune Global 500 companies, and government agencies worldwide. Our internal experts, together with our network of affiliated experts from academia, industry, and government, offer our clients exceptional breadth and depth of expertise.
About the Senior Data Scientist position:
The Senior Data Scientist will develop, maintain, and train staff in new data science and high-performance computing tools and methodologies. Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large data sets such as insurance claims, electronic health records, financial transactions, social media data, and other unstructured data. Work closely with other consultants, analysts and attorneys to develop rigorous economic models to assess liability and damages, prepare testimony, and critique the analyses of opposing experts. Create interactive analytics portals and data visualizations leveraging technologies such as R/Shiny, Python/Flask, and D3. Build and maintain high-performance computing (HPC) tools on grid and cloud computing environments. Develop and review macros and packages in SAS, R, Python, and other object-oriented languages. Establish optimized procedures for repetitive and computationally intensive tasks leveraging C, C++, and Cuda-C. Leverage natural language processing methodologies to work with EMR data, social media data, and other unstructured data.
The candidate must possess a PhD in computer science, mathematics, statistics, economics, or related quantitative science (or foreign education equivalent) and no experience.
Alternatively, a Master's degree in computer science, mathematics, statistics, economics, or related quantitative science (or foreign education equivalent) plus one (1) year of experience in a related occupation using software tools and languages to provide data-driven analytical solutions.
The candidate must also possess demonstrated experience in each of the following skills:
  • Database management and data visualization.
  • Utilizing object-oriented programming languages such as Python, C++ or Java.
  • Utilizing statistical software such as R or SAS.
  • Online or cloud computing or storage such as AWS.

May gain experience and/or skills in a graduate program. Multiple positions available.
Analysis Group embraces equal opportunity. We are committed to building teams that bring a variety of backgrounds, perspectives, and skills, as we believe that a strong and inclusive workforce directly supports our goal of providing the highest-quality work. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other class protected under applicable federal, state, or local law, and we encourage candidates of all backgrounds to apply.
Analysis Group offers competitive compensation and a comprehensive benefits package. The estimated salary range for this position is $160,000-$195,000. Compensation offered will be based on a number of factors including work experience, education, and skill level. This role is eligible for a discretionary annual bonus that is determined in large part by individual performance. To learn more about our benefit offerings, click here.
How to Apply:
You must upload a cover letter indicating geographic preference(s) and a curriculum vitae.
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  • Please view the EEOC's "Know Your Rights" poster here.

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