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How much do part time sas r python jobs pay per hour?

As of May 31, 2026, the average hourly pay for part time 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 the difference between Part Time Sas R Python vs Data Analyst?

AspectPart Time Sas R PythonData Analyst
Required SkillsProficiency in SAS, R, Python, data manipulationData visualization, statistical analysis, Excel, SQL
Work EnvironmentRemote or part-time, project-basedFull-time or part-time, corporate or consulting
Industry UsageHealthcare, finance, research projectsBusiness, marketing, finance, healthcare

Part Time Sas R Python roles focus on programming and statistical analysis using SAS, R, and Python, often in research or specialized projects. Data Analysts typically handle data interpretation, reporting, and visualization across various industries. While both roles require analytical skills, Part Time Sas R Python positions emphasize coding and technical expertise, whereas Data Analysts focus on translating data into insights.

More about Part Time 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:
What job categories do people searching Part Time Sas R Python jobs look for? The top searched job categories for Part Time Sas R Python jobs are:
Part Time Sas R Python jobs near you
Infographic showing various Part Time Sas R Python job openings in the United States as of May 2026, with employment types broken down into 58% Full Time, 40% Part Time, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $112,568 per year, or $54.1 per hour.

Computer Science Expert with Python Experience - AI Projects on Mindrift

Mindrift

Remote

$80/hr

Part-time

Posted 11 hours ago

Job description

Please submit your CV in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What this opportunity involves
While each project involves unique tasks, contributors may:
  • Design rigorous Computer Science problems reflecting professional practice;
  • Evaluate AI solutions for correctness, assumptions, and constraints;
  • Validate calculations or simulations using Python (NumPy, Pandas, SciPy);
  • Improve AI reasoning to align with industry-standard logic;
  • Apply structured scoring criteria to multi-step problems;
  • Collaborate with a global community of PhDs to ensure the highest scientific integrity.

What we look for
This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
  • Degree in Computer Science or related fields.
  • Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent.
  • 2+ years of professional experience: applied, research, or teaching experience is applicable.
  • Strong written English (C1+) .
  • Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.

How it works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Project time expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $80 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Apply