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Weekend Data Science R Jobs in San Jose, CA (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+ ...

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+ ...

eBay Inc.

Data Science - Analyst 4

San Jose, CA · On-site

$149.20 - $199.20/hr

... 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

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

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

Dlapiper

Data Scientist

Palo Alto, CA · On-site +1

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

New

Dlapiper

Data Scientist

San Francisco, CA · On-site +1

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

New

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 ...

Merck & Co.

Senior Data Scientist

South San Francisco, CA · On-site

$140 - $190/hr

Data Science * Machine Learning * Pharmaceutical Research * Python (Programming Language) * R Programming * Software Engineering * Statistical Analysis Preferred Skills San Francisco Residents Only ...

MSD

Senior Data Scientist

South San Francisco, CA · On-site

Bioinformatics, Biostatistics, Computational Biology, Computational Methods, Data Modeling, Data Science, Machine Learning, Pharmaceutical Research, Python (Programming Language), R Programming ...

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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 Aug 21, 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

Data Scientist / Senior Data Scientist, Software Engineering

Apple

Cupertino, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

At Apple, you'll accomplish truly phenomenal things. The SWE Data Science team analyzes and produces insights from diagnostic and usage data from hundreds of millions of devices all over the world. We collaborate with teams across Apple including Engineering, Product, Marketing and Finance to solve challenges and improve the user experience.
We are looking for an ambitious data scientist that is excited to work with large, complex datasets and shape the future direction of our products.
Description
As a data scientist on the SWE Data Science team, you will use data to drive product decisions and improvements. You will apply quantitative methods and statistical techniques to conduct exploratory data analysis, define new metrics, create compelling data visualizations, and develop analytical frameworks that translate raw data into actionable software development opportunities. You will own the analytical process end-to-end, from architecting and designing scalable and efficient data processing pipelines to conducting deep dive analyses and communicating the results. You will also explore new opportunities to innovate with GenAI and LLMs to accelerate our team's velocity and impact.
We are a fast-paced and high-functioning team of data scientists that use the latest Big Data technologies and GenAI to tackle complex, large-scale problems using immense quantities of collected data. This team works closely with core operating systems (iOS, macOS, iPadOS, watchOS and visionOS), application development, and other cross-functional teams across Apple's platforms. The ideal candidate has a strong technical background and is excited to work on a collaborative and innovative team.
Minimum Qualifications
Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Economics) or equivalent professional experience.
Strong proficiency in SQL and at least one programming language, such as Python or R, and experience with data visualization platforms (e.g. Tableau, Looker).
3+ years of data science or related experience, preferably in a consumer tech company.
Strong fundamentals in data engineering, product analytics, statistics, and machine learning.
Experience with distributed computing frameworks like Spark, Hadoop or Flink.
Excellent interpersonal and communication skills, with the ability to collaborate effectively with both technical and non-technical teams.
Self-motivated and intellectually curious, with a demonstrated ability to thrive in ambiguous problem spaces.
Preferred Qualifications
Experience with LLM-driven workflows or leveraging GenAI to augment and improve Data Science workflows.
Experience designing and building scalable data systems and pipelines to support complex, large-scale analytics initiatives.
Strong product mindset and commitment to improving the user experience.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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