2

Remote Sas R Python Jobs in San Carlos, CA (NOW HIRING)

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Program Manager

San Francisco, CA · Remote

$90K - $130K/yr

San Francisco, CA or Boston, MA (Semi-remote organization with hubs in both cities) Role Overview ... SAS, SPSS, R). Salary Range * $90,000 - $130,000 a year Note on salary range: Upper end of the ...

Solutions Architect

San Francisco, CA · On-site +1

$74.25 - $97.75/hr

While candidates in the listed locations are encouraged for this role, we are open to remote ... Production programming experience in Python, R, Scala or Java * Nice to have: Databricks ...

Showing results 41-60

Remote Sas R Python information

See San Carlos, CA salary details

$9

$65

$93

How much do remote sas r python jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote sas r python in San Carlos, CA is $65.35, according to ZipRecruiter salary data. Most workers in this role earn between $60.96 and $72.26 per hour, depending on experience, location, and employer.

What is the difference between Remote Sas R Python vs Remote Data Analyst?

AspectRemote Sas R PythonRemote Data Analyst
Required SkillsSAS, R, Python, data manipulationExcel, SQL, data visualization, basic statistical analysis
CertificationsSAS certifications, R/Python proficiencyNone mandatory, often preferred certifications in Excel or SQL
Work EnvironmentData analysis, statistical modeling, programmingData interpretation, reporting, visualization
Industry UsageHealthcare, finance, pharmaceuticalsBusiness, marketing, finance

Remote Sas R Python roles focus on advanced statistical programming and data modeling using SAS, R, and Python, often in specialized industries. Remote Data Analysts handle data interpretation, reporting, and visualization, typically requiring skills in Excel and SQL. While both roles involve data work, Sas R Python positions demand programming expertise, whereas Data Analysts focus more on data presentation and insights.

What cities near San Carlos, CA are hiring for Remote Sas R Python jobs?

Cities near San Carlos, CA with the most Remote Sas R Python job openings:

Infographic showing various Remote Sas R Python job openings in San Carlos, CA as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, and 6% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $135,925 per year, or $65.3 per hour.

Data Science Expert - Fully Remote | Upto $70/hr

Mercor

San Francisco, CA • Remote

$70/hr

Full-time

Posted 8 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Science and Analytics Experts
Type: Contract
Compensation: $60–$70/hour
Location: Remote

Role Responsibilities

  • Construct enterprise data science scenarios for large-scale predictive modeling and multi-stakeholder analytics governance at Fortune 500 accounts.
  • Build analytics tasks across machine learning model development, enterprise data pipelines, and business intelligence at scale.
  • Develop data and MLOps scenarios using tools like Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms such as SageMaker, Vertex AI, and MLflow.
  • Apply enterprise data science methodologies, including statistical rigor, A/B testing frameworks, and MLOps best practices to produce reference analyses and executive-level insights.
  • Author rubrics that distinguish authentic enterprise data science judgment from generic textbook recall.

Qualifications

Must-Have

  • 5+ years working as a data scientist, analytics leader, or ML engineer at a Fortune 500 technology or enterprise organization.
  • Direct ownership of F500 data products, analytics initiatives, or machine learning systems in production.
  • Fluency in enterprise data science tooling and methodologies, with an understanding of F500 data governance and privacy compliance.

Preferred

  • Prior rubric, technical curriculum, or model documentation authorship.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.