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Data Scientist R Remote Jobs in Santa Ana, CA (NOW HIRING)

Senior Data Analyst (Remote)

Los Angeles, CA · On-site +1

$92K - $116K/yr

Preferred degree with a specialization in Statistics, Data Science, Analytics, Computer Science, Engineering, or another quantitative field or equivalent * Mastery of SQL, Python, and other scripting ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/yr

By combining immediate engagement signals with world-class decision science and vertical AI, EDO ... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ...

... a remote setting. Preferred Qualifications * Experience with data visualization tools (e.g., Power BI, Tableau). * Familiarity with SQL or other query languages. * Exposure to Python, R, or other ...

You will design and develop data & analytics solutions using cutting-edge tools to improve data ... Coding with SQL, Hive, Python/R, SAS, VBA, etc. * Demonstrates excellent organizational skills with ...

Senior Data Analyst / Remote

Los Angeles, CA · Remote

$92K - $116K/yr

Data Analysts support the development and optimization of strategic initiatives by generating ... using R, Python, and other programming languages * Develop technical as well as process-based ...

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

Principal Data Architect Full-time Remote Exclusive confidential search -- details shared with ... Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related ...

Showing results 21-40

Data Scientist R Remote information

See Santa Ana, CA salary details

$39K

$127.7K

$204.5K

How much do data scientist r remote jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data scientist r remote in Santa Ana, CA is $127,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $141,500.00 per year, depending on experience, location, and employer.

What is a data scientist R remote?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

What are the key skills and qualifications needed to thrive as a data scientist R remote?

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

How does a remote data scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

What is the difference between Data Scientist R Remote vs Data Analyst R Remote?

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

What are popular job titles related to Data Scientist R Remote jobs in Santa Ana, CA?

For Data Scientist R Remote jobs in Santa Ana, CA, the most frequently searched job titles are:

What job categories do people searching Data Scientist R Remote jobs in Santa Ana, CA look for?

The top searched job categories for Data Scientist R Remote jobs in Santa Ana, CA are:

What cities near Santa Ana, CA are hiring for Data Scientist R Remote jobs?

Cities near Santa Ana, CA with the most Data Scientist R Remote job openings:

Senior Marketing & Data Analyst

The Misch Group

Los Angeles, CA • On-site, Remote

$175K - $240K/yr

Full-time

Re-posted 9 days ago


Job description

Senior Marketing & Data Analyst
Department: Technology & Software
Employment Type: Full Time
Location: California
Compensation: $175,000 - $240,000 / year
Description
As a senior marketing data analyst, you will aggregate and perform analysis on demand generation and marketing data based on requests from project teams or senior leadership by integrating data from multiple data sources or functional areas. You will ensure data accuracy and integrity; updates data as needed and develop queries or reports to provide data for various analytical projects. This position is also responsible for interpreting key market data to identify business trends, conducting root cause analysis of business problems, and proposing areas for process improvement.
Key Responsibilities
  • Lead large, handles complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting and insights to stakeholders across all levels.
  • Possesses comprehensive knowledge in the business and data landscape, standardized reporting, experimentation, and analysis to support performance discussions across multiple channels.
  • Proactively help the business leverage data and insights to enhance our ability to inform on event management efforts and increase the efficacy of our approaches. Provide rhythm of the business analytics support, actionable insights, and recommendations to optimize and scale flagship events.
  • Apply a customer/stakeholder-oriented focus and user experience design best practices to ensure data analysis is easily consumable through visualization, presentation, and storytelling.
  • Working with technical team on technical requirements to enable data availability, data quality, transformations, and integrity for analytics and wider business self-service usage.
  • Execute data analysis using multiple data sets and sources. Lead discussions interpreting results and connecting them to relevant business context. Provide actionable recommendations to optimize business investments in a way that can be repeated and scaled as needed.
  • Define, build, and maintain performance metrics, dashboards, and analysis. Provide relevant information in an automated, self-service, and efficient manner to enable business optimization and tracking.
  • Provides coaching, and/or mentoring to other members of the group and act as a data analytics lead.

Skills, Knowledge and Expertise
  • Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years' experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.
  • 1+ years' experience with data visualization tools such as Power BI, Tableau, or Looker.
  • 1+ years' experience utilizing SQL AND Excel for data manipulation and analysis.
  • 1+ years' experience with Python and/or R for statistical analysis and data modeling is a plus
  • 2+ year of hands-on experience with Data Analytics tools and services or like products/services.
  • Ability to foster teamwork, analytical thinking skills, statistical knowledge, technical expertise, computer skills, detail oriented, ability to meet deadlines, mathematical skills, project management skills.
  • Experience with Generative AI (GenAI) applications in a marketing context is a plus.