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Weekend Data Science R Jobs in California (NOW HIRING)

Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling * Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

Senior Data Scientist

San Ramon, CA · On-site

$100 - $105/hr

Python, R, SQL * Statistics, Mathematics & Feature Engineering * Model Development, Evaluation ... The ideal candidate will translate business problems into scalable data science solutions, build ...

Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling * Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

Data Science Engineering

Pasadena, CA · On-site

$40.50 - $64/hr

Job Summary The data science engineer will work closely with the PI and his research group to ... Strong programming skills in Python and R * Background in algebraic geometry, computational algebra ...

Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling * Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

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 ...

... R • Experience in product analytics, experimentation, A/B testing, and causal inference, with the ability to translate analysis into business action • Demonstrated success applying data science ...

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 ...

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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, and why are they important?

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:
Sr. Manager, People Data Science

Sr. Manager, People Data Science

Adobe, Inc.

San Jose, CA • On-site

$161K - $303K/yr

Full-time

Re-posted 4 days ago


Job description

The Opportunity
The Sr. Manager of People Data Science will lead and develop the data science function within the Employee Experience team. This role will report to the Head of People Analytics and will lead a team of data scientists to derive insights and recommendations that inform strategic people-related decisions.
What you'll Do
Technical & Strategic Leadership
  • Set the technical vision and quality bar for advanced analytics and AI across People Analytics
  • Guide the team's methodological standards for data analysis, AI usage, and predictive modeling
  • Scale insights through automation, tooling, and reusable frameworks
Advanced Analytics / Data Science
  • Build predictive models to forecast workforce outcomes and inform people decisions
  • Lead complex analytical deep dives that inform talent, culture, and organizational effectiveness decisions
  • Automate insight extraction and recurring analyses (e.g., via Python or R)
Influence & Communication
  • Partner with HR and business leaders to connect insights to goals and strategies
  • Communicate recommendations to executives in ways that drive action
  • Translate complexity into clarity for non-analytical partners
People Leadership & Capability Building
  • Lead, develop, and mentor a team of data scientists, building capability in statistical methods and partner influence
  • Foster a culture of innovation, inclusion, and practical impact
What You Need to Succeed
  • 8+ years in applied data science (ideally People Analytics), with 3-5+ years in a leadership role
  • Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling
  • Experience with people data (survey, HRIS, behavioral) in an applied setting
  • Expert knowledge of advanced statistical methods (e.g., causal inference, predictive modeling, HLM, network analysis, text/NLP, ML)
  • Skill in influencing senior leaders through clear communication of complex insights
  • Track record of establishing methodological standards or technical governance
  • Ability to collaborate across functions and levels
  • Proven ability to lead and develop high-performing teams
  • Commitment to ethical use of employee data, privacy, fairness, and responsible AI

About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let's Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $161,700 -- $303,300 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $209,400 - $303,300In Washington, the pay range for this position is $197,100 - $285,450
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982