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Weekend Data Science R Jobs in San Jose, CA (NOW HIRING)

Aven

Data Scientist

Campbell, CA · On-site

Partner across the company with Product, Engineering, Marketing, Sales, Finance and Data Science ... Expert knowledge of a scientific computing language (such as R or Python) and SQL * Theoretical and ...

Aven

Data Scientist

Campbell, CA · On-site

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 ...

CYNET SYSTEMS

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 ...

Microsoft

Principal Data Scientist

Mountain View, CA · On-site

... science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) * OR equivalent experience. * 6+ years of experience in Python, R, C ...

TikTok

Data Science Manager - TikTok Ads

San Jose, CA · On-site

$254K - $408K/yr

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.

Jobright.ai

Mid Level Data Scientist

San Francisco, CA · On-site

... Data Science, or a related field Expert in SQL and Python or R 3+ years of industry experience Robust understanding of statistical and machine learning methods Preferred Background in an analytical ...

eBay Inc.

Data Science - Analyst 4

San Jose, CA · On-site

$149K - $199K/yr

... data science, analytics, or a related quantitative role, with a track record of independently ... of Python or R. * Experience in product analytics, experimentation, A/B testing, and causal ...

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:

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Weekend Data Science R information

See San Jose, CA salary details

$44K

$143.8K

$230.3K

How much do weekend data science r jobs pay per year?

As of Sep 13, 2026, the average yearly pay for weekend data science r in San Jose, CA is $143,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $159,400.00 per year, depending on experience, location, and employer.

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 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.
Weekend Data Science R jobs near you

Research Data Scientist, Merchant Shopping

Mountain View, CA • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications:
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
About the job:

The Merchant Data Science team is a group of data scientists (US, London, Zurich) within the Merchant Shopping Organization. We work on building scalable data products that empower data-driven decision-making.

We are looking for a passionate, engineering-minded Data Scientist who is eager to innovate on data science using genAI tools and build durable, impactful data products.

In this role, you will need to be a full-stack expert who can bridge the gap between software engineering, data engineering, and data science.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:
  • Build innovative data products like self-serve tools, experiment frameworks, autorater and human evaluations.
  • Operate and contribute towards building a data science team that has engineering style work quality.
  • Provide data-driven perspectives on product direction and opportunities. Define, track, and analyze key metrics and attribution mechanisms to guide product development.
  • Conduct in-depth research and analyses to identify the most significant opportunitiesfor improving the Shopping Graph.
  • Communicate complex findings and recommendations clearly and effectively.
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