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Data Science R Jobs in California (NOW HIRING)

Tapestry

Data Science Manager

Mountain View, CA

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.

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 ...

Adobe

Sr. Manager, People Data Science

San Jose, CA · On-site

Required : • 8+ years in applied data science (ideally People Analytics), with 3-5+ years in a leadership role • Proficiency in SQL, Python, and/or R for querying, statistical analysis, and ...

Superhuman

Director, Data Science

San Francisco, CA · On-site

$302K - $415K/yr

The Opportunity As Director, Data Science , you will lead the data science strategy and team for a ... Strong fluency in SQL, R, Python, and/or modern data tooling, with the ability to guide teams on ...

Sunrise Systems, Inc.

Senior Data Scientist

San Ramon, CA · On-site

$100 - $105/hr

Python, R, SQL * Statistics, Mathematics & Feature Engineering * Model Development, Evaluation ... The ideal candidate will translate business problems into scalable data science solutions, build ...

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Data Science R information

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 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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
MSAT Data Science Engineer

MSAT Data Science Engineer

Allogene Therapeutics

Newark, CA • On-site

Full-time

Posted 18 days ago

Job description

Job Summary:
Allogene Therapeutics is a clinical-stage biotechnology company pioneering the development of allogeneic chimeric antigen receptor T cell products for cancer and autoimmune disease. They are seeking a highly motivated Data Science Engineer to manage manufacturing process data, ensure robust data infrastructure, and support technical initiatives for process understanding and qualification activities.
Responsibilities:
• Ownership of data lake infrastructure, including data ingestion, cleaning, organization, visualization and integration with data analysis tools.
• Translate process understanding into data and develop data analysis methodology to inform process and quality decisions.
• Generate data packages to support PPQ-readiness, PPQ execution and BLA submission for allogeneic CAR-T therapies and critical starting materials
• Able to apply and develop advanced technologies, scientific principles, theories and concepts to meet the needs of the Process Development and Manufacturing teams, including support of technology transfers
• In-depth knowledge of GMP and regulatory expectations and experience with regulatory inspections
• Work with Quality, Facilities & Engineering, Process Development and IT to ensure cross-functional alignment
• Closely partner with the Process Development and Quality groups to ensure continuity of data, robust process design and monitoring of product quality
• Contribute to company-wide AI initiatives as a thought leader for introduction and implementation of new AI tools for continuous improvement and innovation.
• Engage with broader manufacturing team to enable accomplishment of department goals
• Other duties as assigned
Qualifications:
Required:
• Minimum of 6 years of experience within a GMP pharmaceutical manufacturing space
• 2 years of direct data science experience within a GMP pharmaceutical manufacturing space
• Proficiency in programming languages including SQL, Python and R and data analytics tools, including JMP, Spotfire, Tableau, R-Studio
• Knowledge of pharmaceutical manufacturing processes and GMP requirements for data integrity.
• Excellent written and verbal communication skills
• Excellent organizational skills and an ability to prioritize effectively to deliver results within established timelines
• Ability to work independently and as part of a team
• Ability to travel up to 10%
• Candidates must be authorized to work in the U.S.
Preferred:
• Bachelor’s degree in science or engineering (with a focus on computer science or data science preferred)
• Late-stage clinical and commercial experience preferred.
• Cell therapy experience preferred.
• Experience developing and implementing data solutions with machine learning and AI preferred.
Company:
Allogene Therapeutics is a biotechnology company catalyzing cancer treatment through the development of CAR T therapy. Founded in 2017, the company is headquartered in South San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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