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Sas R Python Jobs (NOW HIRING)

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 ...

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

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 ...

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 ...

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 ...

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 ...

Wastewater Epidemiologist

Augusta, ME · Hybrid

$75K - $93K/yr

Coding/programming languages (e.g., SAS, R, Python, SQL) * Data visualization tools (e.g., Tableau, Power BI, ArcGIS) * Health data systems and standards (e.g., HL7, FHIR, ELR, eCR) * Surveillance ...

... R, Python, SAS, or MATLAB. \n \n \n \n \n \n

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SAS R Python information

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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.
More about SAS R Python jobs
What are the most commonly searched types of Sas R Python jobs? The most popular types of Sas R Python jobs are:
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.

Other

Posted 14 days ago


Job description

Company Description

We specialize in Staffing, Consulting, Software Development, and Training along with IT services to small to medium size companies. AG's primary objective is to help companies maximize their IT resources and meet the ever-changing IT needs and challenges.

In addition, AG offers enterprise resource planning and enterprise application integration, supply-chain management, e-commerce solutions, and B2B public exchanges and B2B process integration solutions. Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services to various clients - including governmental agencies and private companies - throughout the United States and India.

We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management systems, state-of-the-art networking, and communications infrastructures. Our honest and realistic approach to recruiting dictates that AG does not entice or lure engineers from their employers. We represent only high caliber technical professionals who have committed to making a change required by career.

Job Description

Need some experienced in Hadoop and related programming environments (Hive,Pig,etc)

Responsibilities:

  • Having a wide-latitude in determining objectives and approaches to solution development on mission critical assignments
  • Going beyond established analytical thinking and problem-solving by applying creativity to unconventional concepts and out-of-the-box solutions
  • Be part of a dynamic and cohesive team of highly trained and successful researchers
  • Independence in the shaping and development of projects
  • Ability to quickly understand patterns within large quantity of data and to reference key characteristics using visualization techniques
  • Demonstrating strong programming skills in large-scale data analysis using Java, R, Python or related software
  • Leveraging strong math skills and statistical knowledge to advanced data mining and data analysis activities related to next generation Cloud technologies

Qualifications

Required:

  • MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
  • Solid knowledge of statistical techniques is required
  • Hands-on programming experience with one or more of the following: 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 programming language (e.g. C, Java, Python, etc.)
  • Familiarity with basic principles of distributed computing and/or distributed databases (Hadoop, NoSQL, etc.)
  • Demonstrable ability to quickly understand new concepts---all the way down to the theorems-and to come out with original solutions to mathematical issues
  • Strongly Preferred:
  • PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
  • Proven experience with Machine Learning techniques, especially on large scale datasets
  • Proven experience with Hadoop and related programming environments (Hive,Pig,etc)
  • Demonstrable skills in creative-problem-solving of complex and advanced technical subject matter
  • Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel
Additional Information

GOOD COMMUNICATION SKILLS

DURATION: 6 months

INTERVIEW: PHONEÂ