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Data Science R Jobs in California (NOW HIRING)

Required : • 5+ years of data science experience with a track record of thought leadership and ... R or Python) and SQL • Theoretical and applied expertise in statistics, machine learning and ...

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Strong command of languages like Python, R, and SQL for data manipulation and model development ... Provides hands-on execution and implementation of data science models. * Translates business ...

Senior Data Scientist

Sacramento, CA · On-site

$116K - $241K/yr

Experience working with clinicians and/or health system operational leaders on data science initiatives. * Fluency in additional programming languages including R, C, SQL. * Familiarity with both ...

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ...

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Quality Assurance & Best Practices - Establish and enforce best practices in data science ... Advanced programming skills in Python, R, and SQL for model development and data processing.

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Quality Assurance & Best Practices - Establish and enforce best practices in data science ... Advanced programming skills in Python, R, and SQL for model development and data processing.

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Quality Assurance & Best Practices - Establish and enforce best practices in data science ... Advanced programming skills in Python, R, and SQL for model development and data processing.

R, Python, MATLAB) and database languages (e.g. SQL) - Experience building data science models (Regression, Decision Trees, K-Means, etc.) - Experience with large data sets and analytical tools, e.g.

Analyze large and complex datasets using Python, SQL, Spark, Hive, R, or similar tools to generate ... data science, or related experience with a Bachelor's degree; 4+ years with a Master's/MBA; or 3+ ...

Showing results 21-40

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 the most commonly searched types of Data Science R jobs in California?

The most popular types of 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:

Infographic showing various Data Science R job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

Aven

Campbell, CA • On-site

Full-time

Re-posted 14 days ago


Job description

Job Summary:
Aven is seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. This role is pivotal in shaping product strategy using robust scientific methodologies and involves applying statistical analysis, machine learning, and econometric modeling on extensive datasets to drive data-driven decisions.
Responsibilities:
• Partner across the company with Product, Engineering, Marketing, Sales, Finance and Data Science teams to shape product strategy using rigorous scientific solutions
• Apply statistical, machine learning and econometric models on large datasets to:
• measure results and outcomes
• identify causal impact and attribution
• predict future performance of users or products
• Design, implement and launch innovative data science solutions to empower data-driven decisions at scale
• Design, analyze, and interpret the results of experiments
• Develop key metrics and observability for Aven products
• Drive the collection of new data and the refinement of existing data sources
• Create analyses that tell compelling stories and inspire action
Qualifications:
Required:
• 5+ years of data science experience with a track record of thought leadership and innovation
• A PhD or MS in a quantitative field (e.g., Engineering, Mathematics, Natural Sciences, or Economics)
• Expert knowledge of a scientific computing language (such as R or Python) and SQL
• Theoretical and applied expertise in statistics, machine learning and experimental design
• Excellent written and verbal communication skills
• Experience designing and implementing complex modeling solutions from ideation to production at scale
• Experience influencing high-impact decisions
• Strong project management and organizational skills
Company:
Aven's mission is to provide the lowest cost, most convenient, and most transparent access to capital. Founded in 2019, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.