ZipRecruiter

Log In

1

Data Science R Jobs in California (NOW HIRING)

Info Way Solutions

Data Science

Fremont, CA · On-site

Info Way Solutions is seeking a Data Science professional to join their team. The role involves ... R, SQL, Python or other data-extraction and analysis tools • Experience with deployment of ...

Omnicom

Director, Data Science

Los Angeles, CA · Hybrid

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Meta (Blueprint), SQL, Python, R (online) Expert-level domain knowledge of business/industry ...

Omnicom

Director, Data Science

Los Angeles, CA · On-site

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Meta (Blueprint), SQL, Python, R (online) Expert-level domain knowledge of business/industry ...

River Partners

Data Science Intern

San Diego, CA · On-site

$18 - $20/hr

Gain experience with industry-standard tools and software, including Python, R, SQL, ArcGIS, etc. Qualifications * Enrollment in the Data Science and Analytics (MSDSA) Master's program at Chico State.

New

Tapestry

Data Science Manager

Mountain View, CA · On-site

Data Scientists work across the organization to help shape our business and technical strategies by ... Experience in Python, SQL, R, Pandas, Scikit-Learn, other ML frameworks as appropriate.

Tapestry

Data Science Manager

Mountain View, CA · On-site

Data Scientists work across the organization to help shape our business and technical strategies by ... Experience in Python, SQL, R, Pandas, Scikit-Learn, other ML frameworks as appropriate.

Adobe, Inc.

Data Science Engineer

San Jose, CA · On-site

We seek a data scientist to join the Creativity & Productivity finance team to refine and implement ... R is a plus. * Experience in data cloud platform (eg. Databricks, AWS, Snowflake) * Understanding ...

Stanfordlivetickets

Biomedical Data Science

Palo Alto, CA · On-site

$125 - $150/hr

Stanford University is seeking a Research Data Analyst 2 - Biomedical Data Science to manage and analyze large amounts of information, typically technical or scientific in nature, independently with ...

1 point system

Data Science Engineer

Century City, CA · On-site

Must have excellent communication Summary The Data Scientist is a member of a highly motivated Tech ... Proficiency in using Python, R, or similar mathematical programming languages for advanced ...

AEG

Director, Data Science

Sacramento, CA · On-site

As part of the Business Intelligence team, the Director of Data Science will lead advanced ... Proficiency in SQL as well as Python and/or R, with demonstrated experience developing production ...

next page

Showing results 1-20

All JobsData Science R JobsData Science R Jobs in California

Data Science R information

What is a Data Science R?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What does a Data Science R do?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

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

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.

What are popular job titles related to Data Science R jobs in California?

For Data Science R jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Science R jobs in California look for?

The top searched job categories for Data Science R jobs in California are:

What cities in California are hiring for Data Science R jobs?

Cities in California with the most Data Science R job openings:

Data Science R jobs near you
Infographic showing various Data Science R job openings in California as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% In-person job distribution.

Data Scientist

Find Data Science

San Francisco, CA

Full-time

Re-posted 2 days ago

Job description

Data Scientist - San Francisco

We are seeking a talented and experienced Data Scientist to join our dynamic team in San Francisco. As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative environment where your insights will shape our business strategies and help us remain competitive in an increasingly data-driven world.

Your expertise in data analysis, machine learning, and statistical modeling will enable you to tackle complex business challenges. By transforming raw data into actionable insights, you will directly contribute to our mission of providing exceptional products and services that meet the needs of our clients and customers.

Key Responsibilities
  • Analyze large datasets to uncover trends, patterns, and insights that will inform business strategies.
  • Develop, implement, and maintain advanced machine learning models to optimize company performance.
  • Collaborate with cross-functional teams to integrate data-driven solutions into existing business processes.
  • Create visualizations and dashboards to present findings to various stakeholders effectively.
  • Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies.
  • Stay updated on industry trends and best practices regarding data science methodologies and technologies.
  • Mentor junior data analysts and contribute to the development of their technical skills.
  • Document methodologies and processes to ensure that data science projects are scalable and sustainable.
  • Assist in the data governance process to ensure data accuracy and integrity.
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.
  • Strong proficiency in programming languages such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and SQL.
  • Solid understanding of machine learning algorithms and statistical analysis techniques.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Strong communication skills, with the ability to convey complex data insights to non-technical audiences.
  • Ability to work collaboratively in a team-oriented environment.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.