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Data Science R Jobs in California (NOW HIRING)

Visa Inc.

Sr. Manager, Data Science

Foster City, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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+ ...

Visa

Sr. Manager, Data Science

Foster City, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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+ ...

Sonsoft Inc

Data Science/Analytics

San Francisco, CA · On-site

Technical Skills - SQL, Advanced Excel, R/SAS. Nice to have Skill/Competency: * Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities:

Sonsoft Inc

Data Science Analytics

San Francisco, CA · On-site

Technical Skills - SQL, Advanced Excel, R/SAS Nice to have Skill/Competency: * Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities:

MSD Malaysia

Senior Data Scientist

South San Francisco, CA · On-site

$160 - $251/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Science * Machine Learning * Pharmaceutical Research * Python (Programming Language) * R Programming * Software Engineering * Statistical Analysis US and Puerto Rico Residents Only: Our company ...

BeeGenius

Data Scientist

Los Angeles, CA · On-site

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ... R • Experience with machine learning algorithms and statistical modeling techniques • Strong ...

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

  • Medical

  • PTO

... science, applied analytics, or a related quantitative field (industry, academia, or both) * 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data * 2+ years of ...

Fanatics

Data Scientist

Los Angeles, CA · On-site

... data science, analytics, or a related quantitative role. * Working knowledge of SQL and experience querying large datasets. * Proficiency in Python or R for data analysis. * Foundational ...

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

... data science, analytics, or a related quantitative role. * Working knowledge of SQL and experience querying large datasets. * Proficiency in Python or R for data analysis. * Foundational ...

Waymo

Senior Data Scientist

San Diego, CA · On-site

Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a quantitative field * A demonstrated track record of independently driving data science projects to ...

BeeGenius

Data Scientist

Los Angeles, CA · On-site

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ... R • Experience with machine learning algorithms and statistical modeling techniques • Strong ...

eBay, Inc.

Senior Data Science Analyst - Shipping

San Jose, CA · On-site

$170K - $227K/yr

  • Medical

  • Retirement

  • PTO

Proficiency in analytics and data science tools such as SQL, R, Python, and visualization tools like Tableau, with experience working directly with large, complex datasets. * Ability to bring to bear ...

eBay Inc.

Senior Data Science Analyst - Shipping

San Jose, CA · On-site

$170K - $227K/yr

  • Medical

  • Retirement

  • PTO

Proficiency in analytics and data science tools such as SQL, R, Python, and visualization tools like Tableau, with experience working directly with large, complex datasets. * Ability to bring to bear ...

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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 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 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Sr. Manager, Data Science

Visa Inc.

Foster City, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Visa rating

8.6

Company rating: 8.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

5th of 21 rated payment service providers

Job description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.
Job Description
Visa's Global Data and AI team is seeking a Senior Manager to join the Consumer Payments Strategic Analytics team as a hands-on individual contributor supporting the Global Consumer Payments business. This role will deliver scalable analytics, AI-driven insights, and data science solutions that inform product strategy, enhance performance, and support innovation for internal Visa business teams.
The Senior Manager will act as an internal data consultant to Consumer Payments business partners, working closely with Product, Marketing, Finance, Technology, and other cross-functional teams. The role will focus on translating business questions into analytical approaches, extracting insights from large-scale Visa data, building repeatable tools and models, and communicating clear recommendations that help internal teams make data-driven decisions.
Key Responsibilities:
  • Lead, execute, and deliver data science and strategic analytics projects that support Visa's internal Consumer Payments business priorities and align with Visa's long-term growth agenda.
  • Partner with internal business teams to understand strategic questions, define project scope, select appropriate methodologies, and deliver actionable analytical solutions.
  • Analyze large and complex datasets using Python, SQL, Spark, Hive, R, or similar tools to generate insights, build models, and identify business opportunities.
  • Develop predictive, descriptive, and diagnostic analytics solutions, including segmentation, propensity modeling, performance measurement, forecasting, and portfolio analysis.
  • Build scalable dashboards, reporting tools, and self-service analytics capabilities that support data democratization, single-source-of-truth principles, and a clear front door for internal business users.
  • Apply AI, machine learning, generative AI, and agentic AI techniques to improve analytics delivery, automate repeatable workflows, and unlock new business insights.
  • Design, prototype, and deploy analytical models and data products in collaboration with data engineering, technology, and platform teams.
  • Maintain strong quality control, documentation, code standards, and reproducibility across analytical deliverables.
  • Translate complex data analysis into executive-ready insights, clear narratives, and practical recommendations for internal stakeholders.
  • Identify market, product, customer, and portfolio trends through deep analysis of payments industry data and internal business performance.
  • Collaborate across Product, Marketing, Finance, Technology, and other relevant functions to embed data and AI into decision-making.
  • Contribute to thought leadership by identifying new analytical methods, reusable frameworks, and innovative approaches that strengthen Consumer Payments Data and Analytics capabilities.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
  • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.

Preferred Qualifications:
  • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
  • 6+ years of analytics, data science, or related experience with a Bachelor's degree; 4+ years with a Master's/MBA; or 3+ years with a PhD.
  • Excellent programming skills in Python and SQL, with hands-on experience using large-scale data environments such as Spark, Hive, Hadoop, or similar platforms.
  • Strong practical experience with AI/ML, including generative AI, LLMs, and AI-assisted development tools such as Claude Code, GitHub Copilot, OpenAI Codex, or similar platforms.
  • Experience with agentic AI concepts and frameworks such as LangGraph, LangChain, or comparable orchestration tools.
  • Ability to build predictive and descriptive models, perform data mining and statistical modeling, and apply appropriate analytical methodologies to solve business problems.
    Experience developing visual insights, dashboards, and reporting solutions using tools such as Tableau, Power BI, or similar business intelligence platforms.
  • Strong ability to translate data-driven analysis into business impact, including excellent storytelling, presentation, and executive communication skills.
  • Proven track record of delivering analytics projects from scoping through execution, quality control, stakeholder communication, and implementation support.
  • Strong stakeholder management skills and demonstrated ability to work effectively with internal business teams in cross-functional and global environments.
  • Deep understanding of Visa's business, consumer payments, issuer and merchant analytics, and the broader payments ecosystem.
  • Experience with cloud-based data platforms, MLOps practices, model deployment, and reusable analytical frameworks.
  • Prior experience in financial services, payments, fintech, consulting, or internal business analytics is a plus.
  • Highly organized, results-oriented, and comfortable working in a fast-paced environment with multiple priorities and internal stakeholders.

U.S. Applicants Only
The estimated salary range for this position is $180,600.00 to $ 289,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

What Visa employees say

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About Visa

Sourced by ZipRecruiter

Visa is a global leader in digital payments, facilitating over 215 billion transactions annually across more than 200 countries and territories. Our mission is to connect the world through an innovative, reliable, and secure payments network, empowering individuals, businesses, and economies to thrive. When you become a part of Visa, you join a purpose-driven culture that values growth, embraces diversity, and recognizes the significance of your contributions. We believe in creating inclusive economies that uplift everyone, everywhere. Your work at Visa will directly impact billions of people worldwide, enabling access to financial services and shaping the future of money movement.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1958

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