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Remote Data Analyst R Programming Jobs in Walnut Creek, CA

Senior Data Scientist

San Francisco, CA · On-site +1

$13K - $190K/yr

Collaborate with a team of product managers, analysts, and other developers to define and lead data ... Remote work support and home office stipend (where applicable) Why You'll Love Working Here At ...

Senior Data Scientist

San Francisco, CA · On-site +1

$13K - $190K/yr

Collaborate with a team of product managers, analysts, and other developers to define and lead data ... Remote work support and home office stipend (where applicable) Why You'll Love Working Here At ...

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

Marketing Data Analytics

San Francisco, CA · Remote

$88K - $110K/yr

MUST HAVES: 8+ yrs of IT/Engineering 4-yr Degree (Computer Science or Related) 5+ yrs of Data Analytics, with specific work with Marketing contribution to Partner-Sourced Pipelines 3+ yrs Data ...

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

Programming Proficiency and experience in Python, SQL, or similar languages. Python and SQL ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ...

Showing results 41-60

Remote Data Analyst R Programming information

See Walnut Creek, CA salary details

$37.7K

$91.5K

$150.6K

How much do remote data analyst r programming jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote data analyst r programming in Walnut Creek, CA is $91,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $107,400.00 per year, depending on experience, location, and employer.

What is a remote data analyst r programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.

What are the key skills and qualifications needed to thrive as a remote data analyst specializing in R programming?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a remote data analyst specializing in r programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

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

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What are the most commonly searched types of Data Analyst R Programming jobs in Walnut Creek, CA?

The most popular types of Data Analyst R Programming jobs in Walnut Creek, CA are:

What are popular job titles related to Remote Data Analyst R Programming jobs in Walnut Creek, CA?

For Remote Data Analyst R Programming jobs in Walnut Creek, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst R Programming jobs in Walnut Creek, CA look for?

The top searched job categories for Remote Data Analyst R Programming jobs in Walnut Creek, CA are:

What cities near Walnut Creek, CA are hiring for Remote Data Analyst R Programming jobs?

Cities near Walnut Creek, CA with the most Remote Data Analyst R Programming job openings:

Infographic showing various Remote Data Analyst R Programming job openings in Walnut Creek, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $91,517 per year, or $44 per hour.

Senior Data Scientist

San Francisco, CA • On-site, Remote

Doximity
Software Development • 501 - 1,000 employees

$13K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

Senior Data Scientist

Location: Remote within the United States

About Doximity

Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity's AI-powered workflow platform is trusted by over 85% of U.S. physicians and 300+ health systems. Doximity's mission is to help clinicians be more productive so they can provide better care for their patients. 

At Doximity, we value curiosity, ownership, inclusion, and a commitment to making a meaningful impact. If you're excited about solving complex problems that improve healthcare, we'd love to hear from you. 

About Us
  • Here are some of the ways we bring value to doctors

  • Here is an introduction to our tech stack 

  • We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and open-source projects

  • We have worked as a distributed team for a long time; we're currently about 65% distributed

  • Find out more information on the Doximity engineering blog

  • Our company core values

  • Our recruiting process

  • Our product development cycle

  • Our on-boarding & mentorship process

Here's How You Will Make an Impact
  • Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.

  • Play a key role in creating both product and client-facing analytics.

  • Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy. 

  • Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations.

 About you
  • At least 4 years of professional experience as a data analyst or a data scientist.

  • Advanced knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory. Some exposure to machine learning methods (regressors, classifiers, etc.).

  • Advanced SQL skills to create and evaluate complex statements involving numerous tables and data relationships.

  • Proficient in Python and well versed in object-oriented programming concepts as it relates to data and Python.

  • Proficient in distributed data processing concepts and execution (e.g., working with column stores, leveraging spark, etc.)

  • Excellent visualization and storytelling skills to explain your results and solutions to the stakeholders, clearly and compellingly.

  • Fast learner; curiosity about and passion for data

Compensation

The anticipated total compensation for this role is $130,00 - $190,000, depending on factors such as experience, skills, location, and internal equity.

Our total compensation package may include:

  • Base salary
  • Equity (where applicable)
  • Annual bonus or incentive compensation (where applicable)

Specific compensation details will be discussed during the interview process.

 Benefits

In addition to competitive compensation, Doximity offers a comprehensive benefits package for full time employees. Some of our offerings include:

  • Medical, dental, and vision insurance
  • 401(k) with company match
  • Flexible paid time off and company holidays
  • Paid parental leave
  • Professional development and learning opportunities
  • Wellness and mental health resources
  • Remote work support and home office stipend (where applicable)
 Why You'll Love Working Here

At Doximity, you'll join a mission-driven company where your work has a meaningful impact on healthcare. We believe great ideas come from empowered teams, and we're committed to creating an environment where people can do their best work.

  • Make a real impact. Help build products that support over a million healthcare professionals and ultimately improve patient care.
  • Work with exceptional teammates. Collaborate with thoughtful, talented colleagues who value curiosity, humility, and continuous learning.
  • Enjoy flexibility and trust. We support flexible ways of working and empower employees with the autonomy to own their work.
  • Grow your career. Take on meaningful challenges, develop new skills, and shape your career through mentorship and professional development.
  • Bring your authentic self. We're committed to fostering an inclusive culture where diverse perspectives are welcomed, respected, and celebrated.
 Our Hiring Process & AI Tools

Doximity may use artificial intelligence (AI)-enabled tools throughout the hiring process to help improve the candidate experience and support our recruiting team. These tools may assist with administrative tasks such as scheduling, general communication, interview coordination, note-taking, or summarizing interview feedback. Human recruiters and hiring managers make all hiring decisions. We are committed to using AI responsibly, transparently, and in accordance with applicable laws.

 Equal Employment Opportunity

Doximity is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive workplace where everyone can thrive. We consider all qualified applicants without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable federal, state, or local law.

If you require a reasonable accommodation during the application or interview process, please let us know so we can support your participation.