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Remote Social Science Jobs in Riverside, CA (NOW HIRING)

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Expert-level experience in measuring the ROI of digital marketing spend across social, search, and ... scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot

SVP, Marketing

Irvine, CA

$365K - $400K/yr

We do not offer remote or hybrid work schedules. Duties & Responsibilities: * Marketing Strategy ... social media, and direct outreach to hospitals and healthcare providers. * Market Intelligence ...

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Remote Social Science information

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$32.9K

$52.8K

$70.9K

How much do remote social science jobs pay per year?

As of Jul 2, 2026, the average yearly pay for remote social science in Riverside, CA is $52,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $55,300.00 per year, depending on experience, location, and employer.

What are some typical daily responsibilities for a remote social science professional?

As a remote social science professional, your daily tasks may include designing and conducting surveys or interviews, analyzing qualitative and quantitative data, and preparing research reports or presentations. You’ll often collaborate with team members through virtual meetings, share updates, and provide feedback on ongoing projects. Adapting your workflow to independently manage deadlines and communication is important, as you’re expected to be proactive and resourceful while working remotely. These responsibilities are crucial for producing thorough and impactful research while maintaining smooth collaboration across distributed teams.

What is a Remote Social Science job?

A Remote Social Science job involves conducting research, analyzing data, and applying social science principles in a virtual setting. Professionals in this field may work in academia, market research, public policy, or consulting. Common tasks include surveying populations, analyzing trends, and providing insights on human behavior. These roles often require strong analytical skills, proficiency in research methods, and the ability to work independently.

What are the key skills and qualifications needed to thrive in the Remote Social Science position, and why are they important?

To thrive in a Remote Social Science role, you should have a background in fields such as sociology, psychology, or anthropology, supported by relevant degrees or research experience. Familiarity with data analysis software (like SPSS, NVivo, or R), statistical methods, and remote collaboration tools is commonly required. Strong communication, self-motivation, and organizational skills are crucial to excel when working independently or with virtual teams. These abilities ensure accurate research, effective collaboration, and consistent productivity in a remote setting.

What are popular job titles related to Remote Social Science jobs in Riverside, CA? For Remote Social Science jobs in Riverside, CA, the most frequently searched job titles are:
What cities near Riverside, CA are hiring for Remote Social Science jobs? Cities near Riverside, CA with the most Remote Social Science job openings:
Director, Marketing Analytics

Director, Marketing Analytics

loanDepot

Irvine, CA • On-site, Remote

$104K - $170K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 26 days ago


loanDepot rating

8.2

Company rating: 8.2 out of 10

Based on 16 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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