2

Remote R Programming Jobs in San Francisco, CA (NOW HIRING)

Lead Data Analyst

Foster City, CA · Remote

$120K - $160K/yr

Familiarity with Python (preferred) or R programming to the level necessary to perform ad-hoc ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

New

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 ...

next page

Showing results 1-20

Remote R Programming information

See San Francisco, CA salary details

$94.3K

$146.1K

$177.9K

How much do remote r programming jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote r programming in San Francisco, CA is $146,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,500.00 and $164,400.00 per year, depending on experience, location, and employer.

What does a remote R programmer do?

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?

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?

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 San Francisco, CA? The most popular types of R Programming jobs in San Francisco, CA are:
What are popular job titles related to Remote R Programming jobs in San Francisco, CA? For Remote R Programming jobs in San Francisco, CA, the most frequently searched job titles are:
What job categories do people searching Remote R Programming jobs in San Francisco, CA look for? The top searched job categories for Remote R Programming jobs in San Francisco, CA are:
What cities near San Francisco, CA are hiring for Remote R Programming jobs? Cities near San Francisco, CA with the most Remote R Programming job openings:

Lead Data Analyst

QuinStreet

Foster City, CA • Remote

$120K - $160K/yr

Full-time

Posted 2 days ago

New


Job description

Powering Performance Marketplaces in Digital Media

QuinStreet is a pioneer in powering decentralized online marketplaces that match searchers and "research and compare" consumers with brands. We run these virtual- and private-label marketplaces in one of the nation's largest media networks.

Our industry leading segmentation and AI-driven matching technologies help consumers find better solutions and brands faster. They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results.

Our campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience.

We believe in:

  • The direct measurability of digital media.
  • Performance marketing. (We pioneered it.)
  • The advantages of technology.

We bring all this together to deliver truly great results for consumers and brands in the world's biggest channel.

Job Category

As a key member of the Strategic Marketing & Analytics team, you will be responsible for data-driven insights that enable QuinStreets Marketing and Media teams to maximize profitability while developing customer relationships. You will gather, organize, and aggregate complex sets of data in order to produce meaningful business insight in areas such as ad network optimization, ad merchandising, marketing performance, quality monitoring, partner development, product testing, and more. You will also communicate your insights and findings to various members of our Client, Media, Analytics, and Executive teams.

Responsibilities

  • Work closely with media and client managers to understand business opportunities for media, client and market growth.
  • Actively mine data to develop actionable insights from our proprietary datasets using various statistical techniques.
  • Evaluate strategies and forecast their expected impact to the key performance indicators.
  • Support analysis and monitoring of business metrics and trends.
  • Key liaison between business and technical teams in managing day to day data analytics.
  • Lead a small team of analysts, setting longer-term goals and ensuring short-term operational efficiency.

Requirements

  • Record of high academic achievement with a BS degree in Business, Economics, Engineering, Math/Science, or otherwise proven background in business/analytics. MS preferred, Bonus points for statistics.
  • 8+ years of work experience in data analytics/science.
  • Strong understanding of statistical methods used in to elicit insights from data.
  • Strong analytical mindset with a drive toward actionable insights from data.
  • Deep interest in online marketing and media industry. Industry experience a plus.
  • High internal motivation with ability to understand the full stack of product development.
  • Willingness to initiate and own research, exploration, and analysis from start to finish for any business problem.
  • Good interpersonal skills and ability to remain focused-yet-flexible in a fast-paced internet company environment.
  • Proficiency in MS Excel, Tableau and SQL.
  • Familiarity with Python (preferred) or R programming to the level necessary to perform ad-hoc analysis.
  • Experience managing a small team

The expected salary range for this position is $120,000 USD to $160,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices. The salary may be adjusted based on applicant's geographic location. The position is also eligible to receive performance bonus or commission and equity in the form of restricted stock units. This position is eligible to participate in the Company's standard employee benefits programs, which currently include health care benefits; (2) retirement benefits; (3) the amount of paid days off (paid sick leave, parental leave, paid time off, or vacation benefits); (4) any other tax-reportable benefits.

#LI-REMOTE

QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law.

Please see QuinStreet's Employee Privacy Notice here.