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Part Time Data Science Jobs in Riverside, CA (NOW HIRING)

True Mission HR

Data Analyst (part-time)

Orange, CA

$35 - $38/hr

We are seeking to add a part-time, hybrid, Data Analyst to support our programs and assist with ... S. degree preferred in information systems, data science, or related field preferred or A.A. degree ...

Rivian

Director, Demand Planning

Irvine, CA · On-site

$150K - $211K/yr

... data science preferred Pay Disclosure The salary range for this role is $150,000-$211,000 for ... Part-time employee coverage is effective the first of the month following 90 days of employment.

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All JobsData Science JobsPart Time Data Science JobsPart Time Data Science Jobs in Riverside, CA

Part Time Data Science information

See Riverside, CA salary details

$9

$47

$113

How much do part time data science jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for part time data science in Riverside, CA is $47.36, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $70.35 per hour, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

What Are Part-Time Data Science Jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

Is 40 too late for data science?

Part time data science roles are accessible at any age, including at 40, provided you have relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance your prospects regardless of age.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists with skills in programming, statistical analysis, and machine learning remain essential for developing and managing AI systems. The profession is evolving to include more focus on complex problem-solving, domain knowledge, and ethical considerations.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.

Can you work part-time as a data scientist?

Yes, data science is a field that offers part-time opportunities, especially for freelance or contract roles. These positions often require skills in programming, statistics, and tools like Python or R, and may have flexible schedules to accommodate part-time work arrangements.
More about Part Time Data Science jobs
What are the most commonly searched types of Data Science jobs in Riverside, CA? The most popular types of Data Science jobs in Riverside, CA are:
What are popular job titles related to Part Time Data Science jobs in Riverside, CA? For Part Time Data Science jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science jobs in Riverside, CA look for? The top searched job categories for Part Time Data Science jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Part Time Data Science jobs? Cities near Riverside, CA with the most Part Time Data Science job openings:
Part Time Data Science jobs near you
Infographic showing various Part Time Data Science job openings in Riverside, CA as of July 2026, with employment types broken down into 100% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $98,505 per year, or $47.4 per hour.

Data Analyst (part-time)

True Mission HR

Orange, CA

$35 - $38/hr

Part-time

Posted 29 days ago

Job description

Mariposa Women and Family Center is expanding our mission and community-based impact. We are seeking to add a part-time, hybrid, Data Analyst to support our programs and assist with identifying collaborative solutions. This position will required some in-office presence and support.

Established in 1977, Mariposa Women and Family Center provides high-quality, affordable mental health and substance abuse counseling, life skills, and supportive services to women and families in need. Our mission is to empower and support vulnerable populations through compassionate care and community engagement.

Position Summary: The Data Analyst serves a key role within the administration of programs including, but not limited to, administering accurate data collection, providing and analyzing data and reports, monitoring outcomes, support of operations with data to ensure programmatic deliverables are met and, ensuring improvements based on data and analytics. The Data Analyst, will ensure the program (CalWORKs Behavioral Health Program) maintains reliable data in the OQ system, and oversees the reporting of data to clients (internal and external).

Responsibilities:

  • Ensures programs maintain a focus on 100% accuracy of outcomes by reviewing, analyzing, and monitoring data for completeness and readiness for reporting.
  • Provide data-informed feedback to program staff and leadership, working proactively and collaboratively to develop strategies for improving outcomes, and communicate any data gaps or delays that may impact reporting timelines.
  • Attend all data and outcomes-related meetings and ensure the program remains proactive in meeting all data collection requirements, including adapting to changes at the local, county, and state levels, and supporting compliance with reporting timelines and requirements (e.g., CalOMS and other mandated reports).
  • Ensure program data accurately reflects outcomes, performance trends, strengths, and areas for improvement.
  • Promote the use of data to support continuous quality improvement and ensure a sustained focus on achieving positive client outcomes and meeting program objectives.
  • Produce timely, consistent, and relevant data reports across all required domains, and support the accurate and timely submission of all required program data and reports to client(s).
  • Advise program management and client staff on data analytics best practices, reporting standards, and data management procedures to improve overall data quality and efficiency.
  • Maintain compliance with HIPAA regulations, ethical standards, and professional boundaries in all data handling and reporting activities.
  • Identify program trends and outcomes through data analysis using OQ Analyst, data manipulation tools, statistical methods, and programming techniques.
  • Proactively engage with program staff to ensure data needs are established and reporting functionality to meet those needs.
  • Attend weekly meetings and ad hoc meeting as required (both remotely and in-person)
  • Perform additional duties as assigned by the Program Director.

Qualifications/Requirements:

  • Prior related experience with County or County contracted electronic health records preferred.
  • Background in statistical methods and techniques.
  • Knowledge or ability to quickly learn data collection system and all available reports through this system.
  • Advanced knowledge of Microsoft (Excel and Access) software.
  • Ability to conduct critical thinking and analyses of program data, develop reports on data assessments, trends in the data, and areas of needed improvement for program management and staff.
  • Ability to create charts and graphs for use in staff meetings focusing on brainstorming ideas for outcome improvement as well as for dissemination to the County BHS (Behavioral Health Services) and the community stakeholders when appropriate.
  • Must have planning and organizing skills with attention to detail and accuracy.
  • Effective organizational, oral and written communication skills and excellent interpersonal skills.
  • Must show strong initiative, excise sound judgment, and take appropriate action when necessary.
  • Ability to effectively prioritize and manage time.
  • B.A. or B.S. degree preferred in information systems, data science, or related field preferred or A.A. degree with 3+ years of related experience.

Special Requirements:

  • Background (livescan) clearance required

Benefits and Terms:

  • Hybrid (period in-office support is required)
  • Part-time (20 hours per week)
  • Non-exempt (hourly)
  • Pay rate: $35-$38 / hour

Mariposa Women and Family Center is an equal opportunity employer and makes employment decisions based on business needs, job requirements, and individual qualifications. We are committed to providing equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other status protected by applicable federal, state, or local law. Additionally, and consistent with California law, qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable regulations. Reasonable accommodations will be provided to qualified individuals with disabilities and applicants throughout the recruitment process upon request.