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

LLNL

Data Scientist

Livermore, CA · On-site

Fundamental experience developing data science algorithms with C++, Python, or R in Linux, UNIX, Windows environments, sufficient to integrate solutions into larger applications. * Experience ...

New

LLNL

Data Scientist

Livermore, CA · On-site

$9.8K/wk

Fundamental experience developing data science algorithms with C++, Python, or R in Linux, UNIX, Windows environments, sufficient to integrate solutions into larger applications. * Experience ...

New

Atlassian

Principal Data Scientist

San Francisco, CA · On-site

$206 - $269/hr

... Data Science or related fields Proficiency in SQL AND another data manipulation programming language (e.g Python, R) Expertise at telling stories with data and familiarity with at least one ...

Cypress HCM

Data Scientist

San Jose, CA · On-site

$105.63/hr

The Express Growth Data Science team is looking for a dynamic and versatile data scientist to drive ... Experience with Python, R or any other scripting language. * Experience with one or more data ...

CLARA analytics

Data Scientist

Santa Clara, CA · On-site

While there is deep data science behind these solutions, they are packaged in easy-to-use formats ... R, Python, C, C++, SQL, Java. (Experience with Spark/Scala a plus.) * Experience defining research ...

Socket.dev

Product Data Scientist, Geo

Mountain View, CA · On-site

$138 - $197/hr

... R, SQL) or 2 years of experience with a Master's degree. Preferred qualifications: * Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related ...

New

Exelixis, Inc.

Senior AI Data Scientist I

Alameda, CA · On-site

$143.50 - $203/hr

Leveraging statistical programming (R, Python, SQL) and machine-learning techniques, this role ... This position exists to advance the organization's AI/ML and data science capabilities across ...

CLARA analytics

Data Scientist

Santa Clara, CA

While there is deep data science behind these solutions, they are packaged in easy-to-use formats ... R, Python, C, C++, SQL, Java. (Experience with Spark/Scala a plus.) * Experience defining research ...

Namely

Senior Data Scientist

Mountain View, CA · On-site

$120 - $160/hr

... and data science stack, and contributes as a dependable, collaborative team member ... Proficiency with Python and/or R for data analysis, model building, and pipeline automation.

Staffingine LLC

Data Scientist

San Francisco, CA · On-site

Have you ever translated econometric models (R/Stata) into production Must-Have Skills: 1) ≥4 years in data science, ML engineering, or AI development roles 2) Strong Python proficiency 3) ...

Brilent

Senior Data Scientist

San Mateo, CA · On-site

Company Description Brilent is a data science tech company developing a SaaS solution to help ... Proficient in SQL, R, Python or Java * Excellent written and verbal communication skills * Attitude ...

Exelixis

Senior AI Data Scientist I

Alameda, CA · On-site

Leveraging statistical programming (R, Python, SQL) and machine-learning techniques, this role ... This position exists to advance the organization's AI/ML and data science capabilities across ...

Exelixis

Senior AI Data Scientist I

Alameda, CA · On-site

Leveraging statistical programming (R, Python, SQL) and machine-learning techniques, this role ... This position exists to advance the organization's AI/ML and data science capabilities across ...

Genentech

Senior Data Scientist

South San Francisco, CA · On-site

$156K - $290K/yr

Provide statistical expertise and develop data science solutions to Pharma technical operations ... Advanced proficiency in statistical methods and software (e.g., R, JMP), with a proven ability to ...

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 ...

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All JobsData Science R JobsWeekend Data Science R JobsWeekend Data Science R Jobs in San Jose, CA

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

Tech Lead Manager, Workspace Monetization Data Science

Google

Sunnyvale, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 245 rated software companies

Job description

info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA.
Minimum qualifications:
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience and a Master's degree).
  • 5 years of experience as a people manager within a technical leadership role.

Preferred qualifications:
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
  • 6 years of experience as a people manager within a technical leadership role.

About the job
Google Workspace is a smart, simple, and secure suite of productivity apps-including Gmail, Docs, Drive, Calendar, Sheets, Meet, and Chat. Designed to simplify workflows and boost team productivity, Workspace features real-time collaboration at its core, allowing information to flow freely across devices and teams so that great ideas are never lost.
As a Tech Lead Manager on the Workspace Monetization Data Science team, you will play a pivotal role in scaling the business and impacting billions of users worldwide. In this role, you will partner closely with product and engineering teams to shape monetization and growth strategies.
As a manager and technical leader, you will deliver data-driven insights to guide product roadmaps, advance analytics infrastructure, and elevate our data foundation. Additionally, you will lead a high-performing team of data scientists, defining vision and priorities while advocating for a culture of collaboration, growth, and excellence.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $240000 - $333000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Act as a thought partner to engineering and product Management leads, providing data-driven perspectives on product direction and strategic opportunities. Mentor and develop data science talent.
  • Conduct deep-dive analyses to identify high-impact opportunities for growing Workspace revenue and user value. Define and align the data science team's vision and priorities, balancing short-term execution with long-term strategic investments.
  • Communicate complex findings and recommendations clearly and effectively to technical and non-technical stakeholders, including executive leadership.
  • Own end-to-end project outcomes, covering problem definition, metrics development, data extraction and manipulation, visualization, and statistical modeling. Contribute to the development of analytics infrastructure and elevate the overall data foundation.
  • Navigate ambiguous or unprecedented challenges by framing strong hypotheses and delivering recommendations that combine analytical accuracy with product expertise.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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