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Data Science R Jobs in California (NOW HIRING)

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 ...

Execute data science projects as identified by Sr Data Scientists, leadership, and stakeholders ... Experience writing Python or R code, and notebook environments * Knowledge of writing code in ...

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ...

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ...

R, Python, MATLAB) and database languages (e.g. SQL) 5. Experience building data science models (Regression, Decision Trees, K-Means, etc.) 6. Experience with large data sets and analytical tools, e ...

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ...

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ...

Execute data science projects as identified by Sr Data Scientists, leadership, and stakeholders ... Experience writing Python or R code, and notebook environments * Knowledge of writing code in ...

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ...

Stay current with emerging data science methodologies, tools, and industry best practices * Ensure ... Proficiency in Python or R for statistical modeling and machine learning * Strong knowledge of SQL ...

Scale and lead a world-class team of data scientists and engineers. You will be responsible for ... Expert-level proficiency in SQL and Python/R, with experience overseeing modern data stacks ...

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Data Science R information

See California salary details

$37K

$121.1K

$193.9K

How much do data science r jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data science r in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What is a Data Science R job?

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 are the typical daily tasks for a Data Science R professional in most organizations?

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.

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:
Data Scientist

Other

Posted 19 days ago


Job description

Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design.

In this hybrid role you will report to a Data Science Manager.

You will:

  • Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation.
  • Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving.
  • Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc.
  • Frame and solve ambiguous problems, derive data-driven conclusions, and communicate findings to senior stakeholders.
  • Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products.

You have:

  • Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)
  • 3+ years of industry experience solving data science problems or a PhD in a quantitative field
  • Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models
  • Demonstrated knowledge of Python/SQL/R data analysis libraries and packages

We prefer:

  • PhD in a quantitative field
  • Experience solving problems related to Autonomous Driving or Ride Hailing
  • Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction