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Weekend Data Science R Jobs in California (NOW HIRING)

Visa

Sr. Manager, Data Science

Foster City, CA · On-site

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+ ...

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 ...

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:

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... 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 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

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 ...

PROPRIUS

Data Scientist

Sunnyvale, CA

$130K - $160K/yr

... Science? Would you like to be part of a high caliber team who have access to huge volumes of real ... Proficient in machine learning and data mining packages in R, Python, or Weka. * Experience working ...

Apex Informatics

Data Scientist

Pleasanton, CA · On-site

Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw ... Top Daily Responsibilities: 1. Support Data-Science and other analytics as needed. 2. Develop SQL ...

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Weekend Data Science R information

What are some common challenges faced by Weekend Data Science R professionals, and how can they effectively manage project deadlines given a limited work schedule?

Weekend Data Science R professionals often face the challenge of managing complex data analysis projects within a restricted timeframe. Balancing project deadlines with limited availability requires strong time management and clear communication with team members. It's important to set realistic goals for each work session, prioritize tasks that drive the most value, and leverage collaboration tools to stay aligned with colleagues working during weekdays. Building a habit of thorough documentation and regularly syncing with the team ensures that progress continues smoothly, even when not physically present during the standard workweek.

What is a Weekend Data Science R?

A Weekend Data Science R is typically a data scientist or analyst who specializes in using the R programming language to analyze and interpret data, and who works primarily on weekends. This role may be part-time, project-based, or designed for individuals who are balancing other commitments during the week. Weekend Data Science R professionals often handle tasks such as data cleaning, statistical analysis, and creating data visualizations using R. They are valued for their ability to deliver insights and support decision-making processes, often on a flexible schedule. This role is ideal for those who have strong analytical skills and proficiency in R, and who prefer or require weekend work hours.

What are the key skills and qualifications needed to thrive as a Weekend Data Science R?

To thrive as a Weekend Data Science R, you need a solid background in statistics, programming (especially in R), and data analysis, often supported by a relevant degree or coursework. Familiarity with data visualization tools, machine learning libraries, and version control systems like Git is commonly required. Excellent problem-solving, time management, and communication skills help you tackle projects independently and convey insights clearly. These skills are crucial for delivering actionable results efficiently while balancing part-time or weekend schedules.
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:
Weekend Data Science R jobs near you

Sr. Manager, Data Science

Visa

Foster City, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

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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Hours and flexibility

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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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