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

loanDepot

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Experience working in matrixed environments, across multiple teams of marketing managers, data scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot : * Aggressive ...

Invoca

Senior ML Engineer

Anaheim, CA · On-site +1

$109K - $150K/yr

Partner closely with Data Scientists, Data Engineers, and Applied AI Engineers to build the ... Familiarity with RLHF or preference training is a bonus đź“Ť Location This is a remote-first role.

Noor Staffing Group

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

Hybrid if local to Irvine, CA. 100% remote if you live more than 30 miles from the office. Our ... data management * Bachelor's degree in Computer Science, Engineering, or a related field, or ...

ICF

Substation Physical Designer - REMOTE

Riverside, CA · On-site +1

Participate in client meetings and perform site visits for data gathering as required * Interpret ... Knowledge of the practical application of engineering science and technology, including the ability ...

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Remote Data Science Tutor information

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

As of Jul 10, 2026, the average hourly pay for remote data science tutor in Riverside, CA is $47.63, according to ZipRecruiter salary data. Most workers in this role earn between $24.33 and $57.93 per hour, depending on experience, location, and employer.

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 are Remote Data Science Tutors?

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 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 Riverside, CA? For Remote Data Science Tutor jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Tutor jobs in Riverside, CA look for? The top searched job categories for Remote Data Science Tutor jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Data Science Tutor jobs? Cities near Riverside, CA with the most Remote Data Science Tutor job openings:
Remote Data Science Tutor jobs near you
Director, Marketing Analytics

Director, Marketing Analytics

loanDepot

Irvine, CA • On-site, Remote

$104K - $170K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 3 days ago

loanDepot rating

7.8

Company rating: 7.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Description
Position at loanDepot
Position Summary:
Responsible for serving as a strategic driver of customer-level insights, marketing effectiveness, and revenue growth. This role owns end-to-end customer and cohort analytics across the full lifecycle-from first touch through funded loan and post-close engagement-translating complex data into clear, actionable insights for executive leadership. The Director will lead full-funnel attribution and unit economics analysis to optimize digital marketing ROI, improve conversion efficiency, and inform lifecycle strategy, prioritization, and personalization. This position ensures the performance of all duties in accordance with the company's policies and procedures, all U.S. state and federal laws and regulations, wherein the company operates.
Responsibilities:
  • Deep understanding of mortgage-specific KPIs, including Cost Per Lead (CPL), Cost Per Funded Loan (CPFL), and pull-through rates at every stage of the pipeline.
  • Researches and analyzes consumer lending market trends to identify opportunities for improvement.
  • Owns customer-level and cohort-based analysis across the full lifecycle, from first touch through funded loan and post-close engagement.
  • Develop insights into customer behavior, intent signals, and drop-off patterns to inform lifecycle strategy, prioritization, and personalization.
  • Partners with Marketing and Product teams to design and analyze A/B tests for landing pages and digital application flows to reduce drop-off.
  • Partners with Revenue Operations and Sales leadership to drive revenue and profitability growth with data insights.
  • Partners with Data Science team to build and deploy machine learning models that prioritize leads based on conversion probability, credit profile, and intent data to optimize sales team efficiency.
  • Helps in the creation and implementation of strategies to promote consumer loans to target audiences.
  • Translates complex technical and data findings into actionable strategic insights for the C-suite.
  • Creates and delivers insightful presentations that summarize complex analyses and inform on business decisions.
  • Performs other duties and projects assigned.

Requirements:
  • Bachelor's degree in Business Economics or Engineering. Master's Degree preferred, and/or minimum of seven (7) + years of progressive experience mining large complex data sets, using a variety of advanced quantitative/modelling techniques in a corporate marketing discipline.
  • Expert-level experience in measuring the ROI of digital marketing spend across social, search, and lead aggregators.
  • Minimum of three (3) + years' experience in data manipulation and analysis required.
  • Experienced using the modern data stack (e.g., Databricks, MS SQL) and BI tools (Tableau, PowerBI) to ensure a "single source of truth" for revenue and marketing data.
  • Minimum of three (3) years' experience working in a fast paced, dynamic environment with rapid testing and iteration, moving at the speed of digital markets rather than traditional bank cycles.
  • Experience working in matrixed environments, across multiple teams of marketing managers, data scientists and analysts in remote or hybrid environments.

Why work for #teamloanDepot:
  • Aggressive compensation package based on experience and skill set.
  • Inclusive, diverse, and collaborative culture where people from all backgrounds can thrive.
  • Work with other passionate, purposeful, and customer-centric people.
  • Extensive internal growth and professional development opportunities including tuition reimbursement.
  • Comprehensive benefits package including Medical/Dental/Vision.
  • Wellness program to support both mental and physical health.
  • Generous paid time off for both exempt and non-exempt positions.

About loanDepot:
loanDepot (NYSE: LDI) is a digital commerce company committed to serving its customers throughout the home ownership journey. Since its launch in 2010, loanDepot has revolutionized the mortgage industry with a digital-first approach that makes it easier, faster, and less stressful to purchase or refinance a home. Today, loanDepot enables customers to achieve the American dream of homeownership through a broad suite of lending and real estate services that simplify one of life's most complex transactions. With headquarters in Southern California and offices nationwide, loanDepot is committed to serving the communities in which its team lives and works through a variety of local, regional, and national philanthropic efforts.
Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this role is between $104,000 and $170,000. Your base pay will depend on multiple individualized factors, including your job-related knowledge/skills, qualifications, experience, and market location.
We are an equal opportunity employer and value diversity in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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