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Remote R Programming Jobs in California (NOW HIRING)

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or ...

Quanata

Actuary [Remote-US]

San Francisco, CA · On-site +1

$210K - $260K/yr

Deep programing experience in at least one of: Python (Pandas, NumPy, and Scikit-learn) or R (dplyr ... We are a remote-first company for most positions so you may work from anywhere you like in the U.S ...

Nebius

$109K - $136K/yr

... and AI R&D. The role We\'re hiring a Technical Support Engineer to provide excellent customer ... Remote Work Reimbursement: Up to $85/month for mobile and internet. * Disability & Life Insurance:

6sense

Sr. Software Engineer

San Francisco, CA · Remote

$179K - $263K/yr

Experience in the Big Data technologies (Hadoop, M/R, Hive, Spark, Flink, Metastore, Presto, Kafka ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

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$79K

$122.4K

$149K

How much do remote r programming jobs pay per year?

As of Jun 11, 2026, the average yearly pay for remote r programming in California is $122,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $137,700.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks a Remote R Programmer might work on?

Remote R Programmers often work on projects involving data cleaning, statistical modeling, and creating data visualizations for business or scientific insights. They may be responsible for developing automated data workflows, building predictive models, or generating reproducible reports using R Markdown or Shiny dashboards. Additionally, remote work usually requires frequent collaboration with data scientists, analysts, or cross-functional teams via virtual meetings and project management platforms. This role allows you to contribute to diverse industries, ranging from healthcare to finance, and offers opportunities to continuously expand your technical expertise.

What is a Remote R Programming job?

A Remote R Programming job involves using the R programming language for data analysis, statistical modeling, and visualization while working from a remote location. Professionals in this role may work in fields such as data science, finance, healthcare, or research. Tasks often include data cleaning, building predictive models, and generating reports using R packages like ggplot2, dplyr, and tidymodels. Remote R programmers typically collaborate with teams through online communication tools and version control systems like Git. This role requires strong analytical skills and the ability to work independently while delivering data-driven insights.

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

To thrive as a Remote R Programmer, you need strong proficiency in R programming, data analysis, and statistics, typically supported by a degree in a quantitative field such as computer science, statistics, or data science. Familiarity with version control systems like Git, data visualization libraries (e.g., ggplot2), and experience with cloud-based collaboration tools is highly valued. Excellent communication skills, self-motivation, and the ability to work independently are important soft skills for remote success. These competencies ensure that you can efficiently deliver high-quality analytical solutions and collaborate with distributed teams.

What are the most commonly searched types of R Programming jobs in California? The most popular types of R Programming jobs in California are:
What are popular job titles related to Remote R Programming jobs in California? For Remote R Programming jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote R Programming jobs in California look for? The top searched job categories for Remote R Programming jobs in California are:
What cities in California are hiring for Remote R Programming jobs? Cities in California with the most Remote R Programming job openings:
Remote R Programming jobs near you
Infographic showing various Remote R Programming job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $122,376 per year, or $58.8 per hour.

Satellite Applications Specialist - Precipitation

Rainmaker Technology Corporation

El Segundo, CA • Remote

Full-time

Posted 28 days ago

Job description

Rainmaker is pioneering a modern cloud seeding system to solve water scarcity and inclement weather problems. We develop and incorporate radar validation, weather-resistant UAS, numerical weather modeling, and sustainable cloud seeds into an effective precipitation enhancement solution.

The Satellite Applications Specialist is responsible for the acquisition, processing, and analysis of satellite cloud and precipitation data for cloud seeding validation. This role requires a deep understanding of satellite remote sensing principles, meteorological processes, and data analysis techniques. The specialist will work closely with meteorologists, data scientists, and software engineers to develop and implement advanced data processing algorithms and workflows.
What You'll Do
  • Data Acquisition: Identify and access publicly available meteorological satellite data from various platforms (e.g., GOES, Meteosat, MODIS, Sentinel, etc.). Develop and maintain data acquisition workflows to retrieve large multi-spectral datasets. Implement data storage and management strategies.
  • Data Ingestion and Processing: Ingest satellite data into data processing systems. Perform data quality checks. Define and implement correction methodologies. Apply atmospheric correction algorithms to account for the effects of the atmosphere on satellite measurements. Develop and implement advanced algorithms for quantitative precipitation estimation (QPE) and phase classification based on machine learning methods.
  • Data Analysis: Analyze satellite data to extract meteorological information, such as cloud cover, precipitation intensity, cloud phase, and atmospheric temperature and humidity profiles. Work to analyze real-time and archival case studies. Develop and apply data visualization techniques to represent meteorological phenomena. Contribute to scientific research projects and publish findings in peer-reviewed journals.
  • Algorithm Development: Develop and test new algorithms for satellite data processing and analysis. Collaborate with data scientists and meteorologists to improve existing algorithms. Stay up-to-date on the latest advancements in satellite remote sensing and data analysis techniques.
  • Precipitation Enhancement Applications: Support precipitation enhancement operations by providing satellite data analysis to identify suitable cloud targets and assess the effectiveness of seeding efforts. Develop algorithms to estimate the potential for precipitation enhancement from precipitation enhancement.
Required Qualifications
  • Master's degree or Ph.D. in meteorology, atmospheric science, remote sensing, or a related field.
  • Strong understanding of satellite remote sensing principles and meteorological processes.
  • Experience with data acquisition, processing, and analysis of large datasets. This involves distributed computing methods, database management systems, data partitioning, vectorizing operations, and GPU acceleration.
  • Experience with Amazon Web Services cloud computing for external data sources, and internal instance management.
  • Proficiency in data analysis tools and programming languages (e.g., Python, MATLAB, R, C++).Knowledge of machine learning and deep learning techniques, for satellite applications.
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