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Remote Data Science Tutor Jobs in Orange, CA (NOW HIRING)

Data Systems Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

This role offers a collaborative work environment with opportunities for both in-office and remote ... Science, or a related field, or equivalent relevant experience 5+ years of experience writing ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/yr

By combining immediate engagement signals with world-class decision science and vertical AI, EDO ... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Experience influencing multiple stakeholders across engineering, data science, merchandising, and content teams, and driving alignment and decisions. Leadership experience in distributed or remote ...

Senior Product Analyst

Los Angeles, CA · On-site +1

$101K - $156K/yr

REQUIREMENTS: - Bachelor's degree in Statistics, Data Analysis, Data Science, Applied Mathematics ... Partial remote/hybrid benefit available. ANNUAL PAY RANGE : $101,712 - $156,475 + benefits (Annual ...

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Remote Data Science Tutor information

See Orange, CA salary details

$10

$48

$100

How much do remote data science tutor jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote data science tutor in Orange, CA is $48.77, according to ZipRecruiter salary data. Most workers in this role earn between $24.90 and $59.33 per hour, depending on experience, location, and employer.

What is a remote data science tutor?

Remote Data Science Tutors are professionals who provide instruction and guidance in data science topics through online platforms rather than in-person sessions. They help students or professionals understand concepts such as statistics, machine learning, data analysis, and programming languages like Python or R. By working remotely, these tutors can offer flexible scheduling and reach students in different geographic locations. Their goal is to support learners in building practical skills and solving real-world data science problems.

What are the key skills and qualifications needed to thrive as a remote data science tutor, and why are they important?

To thrive as a Remote Data Science Tutor, you need a solid background in data science concepts, programming (Python or R), and statistical analysis, usually backed by a degree in a related field and tutoring or teaching experience. Familiarity with tools like Jupyter Notebook, Zoom, and learning management systems, as well as relevant certifications (e.g., Coursera or edX credentials), is typically required. Excellent communication, patience, and the ability to explain complex topics in simple terms help tutors connect with learners and address diverse questions. These skills are essential for effectively guiding remote students, fostering engagement, and ensuring successful learning outcomes in a virtual environment.

What are the most common challenges faced by remote data science tutors, and how can they be addressed?

Remote data science tutors often face challenges such as engaging students virtually, managing diverse learning paces, and ensuring clear communication of complex concepts. To address these, it's helpful to leverage interactive tools like virtual whiteboards and coding platforms, tailor lesson plans to individual student needs, and maintain regular check-ins. Building a supportive online community and providing timely feedback further enhance the learning experience for students and make tutoring more effective.

What is the difference between Remote Data Science Tutor vs Data Science Instructor?

AspectRemote Data Science TutorData Science Instructor
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like CAP or DASCA are commonOften requires advanced degrees and teaching certifications; industry experience is valued
Work EnvironmentWorks remotely, often one-on-one or small groups via online platformsCan be remote or in-person, usually in educational institutions or training centers
Employer & Industry UsageFreelance, online tutoring platforms, educational startupsUniversities, colleges, corporate training programs

While both roles involve teaching data science concepts, a Remote Data Science Tutor typically provides personalized, online tutoring to individual students or small groups, focusing on specific skills or projects. A Data Science Instructor usually teaches larger classes in academic or corporate settings, covering broader curricula. The key difference lies in the scope, environment, and audience of each role.

What are popular job titles related to Remote Data Science Tutor jobs in Orange, CA?

For Remote Data Science Tutor jobs in Orange, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Tutor jobs in Orange, CA look for?

The top searched job categories for Remote Data Science Tutor jobs in Orange, CA are:

What cities near Orange, CA are hiring for Remote Data Science Tutor jobs?

Cities near Orange, CA with the most Remote Data Science Tutor job openings:

Infographic showing various Remote Data Science Tutor job openings in Orange, CA as of August 2026, with employment types broken down into 76% Part Time, and 24% Contract. Highlights an 100% Remote job distribution, with an average salary of $101,438 per year, or $48.8 per hour.

Data Systems Engineer

Vytl Controls Group

Los Angeles, CA • On-site, Remote

$123K - $148K/yr

Full-time

Posted 12 days ago


Job description

Position Summary
We are seeking a Data Systems Engineer to join our growing organization. This role will support the Director of Data Systems in designing and delivering scalable data solutions that enable business analytics, reporting, and data integration.
The ideal candidate will have strong experience with modern data platforms and a passion for building reliable, high-quality data systems. This role offers a collaborative work environment with opportunities for both in-office and remote work.
 
Key Responsibilities

Assist in the design, development, and maintenance of enterprise data platforms (data lake, warehouse, and lakehouse environments)
Partner with business stakeholders and product owners to develop reporting solutions, data extracts, and data models
Build and maintain data pipelines and ETL/ELT processes
Ensure data quality, integrity, and consistency across platforms such as Microsoft Fabric, Power BI, and Azure
Support data visualization and reporting initiatives, including Power BI dashboards and semantic models
Deliver project objectives on time, within scope, and with a high level of quality
Contribute to data governance, standards, and best practices

 
Experience & Education

Bachelor’s degree in Information Systems, Data Engineering, Data Science, or a related field, or equivalent relevant experience
5+ years of experience writing complex SQL queries and working with data models
2+ years of experience developing and maintaining ETL/ELT processes
Experience with modern data platforms, including Microsoft Fabric or similar cloud-based solutions

 
Technical Skills & Tools

Microsoft Fabric, Azure Data Services, Databricks
Power BI and Power Platform
Python
DAX
Microsoft Dynamics D365 (preferred)
Azure DevOps (or similar CI/CD tools)
Git version control
Advanced SQL (T-SQL)
Excel (advanced data manipulation)
Development tools such as VS Code and SQL Server Management Studio

 
Core Competencies

Ability to manage multiple concurrent projects and priorities in a fast-paced environment
Strong problem-solving and analytical skills
Excellent communication skills with the ability to translate technical concepts for business stakeholders
High attention to detail and commitment to data quality

 
Additional Requirements

Ability to travel as needed
Valid driver’s license with a clear driving record
Successful completion of background check and drug/alcohol screening