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Social Behavioral Science Remote Jobs in Riverside, CA

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Translate business and operational needs into scalable data science solutions and modeling ...

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Translate business and operational needs into scalable data science solutions and modeling ...

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Translate business and operational needs into scalable data science solutions and modeling ...

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $150K/yr

Verify compliance-critical behavior: disclosure timing, fee tolerances, audit trails, and data ... Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience ...

ABA Intake Coordinator

Irvine, CA · On-site +1

$19.25 - $26/hr

Remote - PST Hours * Growth & Development Opportunities Who we are: The Center for Social Dynamics ... CSD's people and programs deliver personalized, professional, evidence-based behavioral and ...

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Develop insights into customer behavior, intent signals, and drop-off patterns to inform lifecycle ... scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot

Develop insights into customer behavior, intent signals, and drop-off patterns to inform lifecycle ... scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Develop insights into customer behavior, intent signals, and drop-off patterns to inform lifecycle ... scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Develop insights into customer behavior, intent signals, and drop-off patterns to inform lifecycle ... scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Develop insights into customer behavior, intent signals, and drop-off patterns to inform lifecycle ... scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot

Project Environmental Professional

Irvine, CA · On-site +1

$130K - $150K/yr

SOCOTEC offers competitive salary and benefits, mentorship, training, and social activities ... We are seeking a Project Environmental Scientist, Engineer, or Geologist to support the management ...

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Showing results 1-20

Social Behavioral Science Remote information

See Riverside, CA salary details

$32.9K

$52.8K

$70.9K

How much do social behavioral science remote jobs pay per year?

As of Jun 26, 2026, the average yearly pay for social behavioral science remote 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 is the difference between Social Behavioral Science Remote vs Behavioral Data Analyst?

AspectSocial Behavioral Science RemoteBehavioral Data Analyst
Required CredentialsBachelor's or higher in social sciences, psychology, or related fields; some roles may require certifications in research methodsBachelor's or higher in statistics, data science, or related fields; often requires proficiency in data analysis tools
Work EnvironmentRemote, collaborative research or consulting settings, often involving online communicationRemote or on-site, focused on analyzing data sets, creating reports, and supporting decision-making
Employer & Industry UsageAcademic institutions, research firms, NGOs, government agenciesTech companies, healthcare, marketing firms, consulting agencies

Social Behavioral Science Remote professionals focus on understanding human behavior through research and analysis, often in academic or research settings. Behavioral Data Analysts primarily analyze data to inform business decisions, typically requiring strong statistical skills. Both roles are often remote and require analytical skills, but they differ in focus and industry applications.

What are social behavioral science remote jobs?

Social behavioral science remote jobs involve researching, analyzing, and understanding human behavior and social interactions, often using data collection, interviews, or surveys. These roles can be performed from home or any remote location, using digital tools to collaborate with teams and conduct studies. Common positions include research analysts, survey researchers, and program evaluators working for universities, government agencies, or private organizations. Remote work in this field allows for flexible scheduling and the ability to connect with diverse populations virtually.

What are the key skills and qualifications needed to thrive as a Social Behavioral Science Remote professional, and why are they important?

To thrive as a Social Behavioral Science Remote professional, you need a solid background in behavioral science, data analysis, and research methodology, typically supported by a relevant bachelor's or master's degree. Familiarity with statistical software (such as SPSS, R, or Python), survey platforms, and remote collaboration tools is essential. Strong communication, critical thinking, and self-motivation are crucial soft skills for conducting research, analyzing data, and collaborating with teams virtually. These skills and qualities ensure effective remote research, accurate data interpretation, and meaningful contributions to interdisciplinary projects.

How do remote Social Behavioral Scientists typically collaborate with multidisciplinary teams?

Remote Social Behavioral Scientists frequently work with professionals from various fields, such as data analysts, public health experts, and program managers. Collaboration usually happens via virtual meetings, shared digital workspaces, and regular progress updates. Clear communication and effective use of collaboration tools are essential to ensure alignment on research objectives, data collection methods, and interpretation of findings. Building strong virtual relationships and staying proactive in team discussions help overcome the challenges of distance and foster productive teamwork.
What are the most commonly searched types of Social Behavioral Science jobs in Riverside, CA? The most popular types of Social Behavioral Science jobs in Riverside, CA are:
What are popular job titles related to Social Behavioral Science Remote jobs in Riverside, CA? For Social Behavioral Science Remote jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Social Behavioral Science Remote jobs in Riverside, CA look for? The top searched job categories for Social Behavioral Science Remote jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Social Behavioral Science Remote jobs? Cities near Riverside, CA with the most Social Behavioral Science Remote job openings:
Infographic showing various Social Behavioral Science Remote job openings in Riverside, CA as of June 2026, with employment types broken down into 66% Full Time, 30% Part Time, 1% Temporary, and 3% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $52,799 per year, or $25.4 per hour.

Data Scientist II

Corvel

Irvine, CA • On-site, Remote

$82K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


CorVel rating

7.9

Company rating: 7.9 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

82nd of 139 rated financial services


Job description

We have an exciting opportunity for a Data Scientist within our data product space. This individual will be focused on designing, building, and deploying machine learning models and data products that support our enterprise initiatives. This role focuses on developing scalable, production ready solutions by translating complex business problems into data-driven approaches and model-based outputs.
Working closely with product managers, engineering teams, and business stakeholders, this position contributes to the development of data products from concept through deployment, ensuring solutions are reliable, performant, and aligned with real world use cases. The role includes hands on model development, feature engineering, and integration into production systems within cloud environments.
The ideal candidate has experience building and operationalizing machine learning models and is comfortable working with modern AI techniques, including large language models (LLMs) and retrieval-augmented generation (RAG), where applicable. Experience with platforms such as Azure, AWS, or similar ecosystems is strongly preferred.
Success in this role requires strong technical expertise, problem-solving skills, and the ability to deliver high-quality solutions within a structured development environment. This role focuses on building and deployment of production data products and is not limited to exploratory analysis or reporting.
This position is open to remote or hybrid.
ESSENTIAL FUNCTIONS & RESPONSIBILITIES:
  • Mine and analyze data from internal databases to drive optimization and improvement of product development and business strategies
  • Creating new, experimental frameworks to collect data
  • Building tools to automate data collection
  • Develop custom data models and algorithms to apply to data sets
  • Design, build, train, and deploy machine learning models and data products for enterprise use
  • Translate business and operational needs into scalable data science solutions and modeling approaches
  • Perform feature engineering, data preparation, and exploratory analysis to support model development
  • Develop and evaluate models using appropriate techniques (e.g., classification, regression, NLP, optimization)
  • Contribute to the design of data products, including model outputs, APIs, and integration into downstream systems
  • Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate
  • Collaborate with engineering teams to integrate models into production environments using APIs, pipelines, and cloud services
  • Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms
  • Perform model validation, testing, and documentation to ensure quality and reproducibility
  • Contribute to technical design discussions and provide input on architecture and implementation strategies
  • Work within the full software development lifecycle (SDLC), including version control, testing, and release processes
  • Communicate model behavior, assumptions, and results clearly to technical and non-technical stakeholders
  • Develop A/B testing framework and test model quality
  • Passion for technology and emerging AI/ML trends
  • Additional duties as assigned

KNOWLEDGE & SKILLS:
  • Strong problem-solving skills with an emphasis on product development.
  • Strong foundation in machine learning, statistical modeling, and data science techniques
  • Experience building and deploying machine learning models in production environments
  • Familiarity with modern AI approaches, including:
    • Natural language processing (NLP)
    • Large language models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • Feature engineering and model evaluation techniques
  • Experience working with cloud platforms such as Azure, AWS, or similar ecosystems
  • Familiarity with data pipelines, APIs, and integration patterns
  • Proficiency in programming languages such as Python and database management including SQL
  • Strong problem-solving skills with the ability to structure complex problems into analytical solutions
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.), their real-world advantages/drawbacks and experience with applications
  • Excellent presentation and written/verbal communication skills

EDUCATION & EXPERIENCE:
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field; Master's preferred
  • 2-5+ years of experience in data science, machine learning, or related roles
  • Experience developing and deploying machine learning models in production environments
  • Experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or similar
  • Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, or similar technologies preferred
  • Experience working within enterprise software environments and SDLC practices preferred

PAY RANGE:
CorVel uses a market based approach to pay and our salary ranges may vary depending on your location. Pay rates are established taking into account the following factors: federal, state, and local minimum wage requirements, the geographic location differential, job-related skills, experience, qualifications, internal employee equity, and market conditions. Our ranges may be modified at any time.
For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level, either up or down, based on assessment during interview process taking into consideration experience, qualifications, and overall fit for the role. The level may impact the salary range and these adjustments would be clarified during the offer process.
Pay Range: $82,574 - $127,490
A list of our benefit offerings can be found on our CorVel website: CorVel Careers | Opportunities in Risk Management
In general, our opportunities will be posted for up to 1 year from date of posting, or until we have selected candidate(s) to fulfill the opening, whichever comes first.
About CorVel
CorVel, a certified Great Place to Work® Company, is a national provider of industry-leading risk management solutions for the workers' compensation, auto, health and disability management industries. CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most innovative and integrated solutions to our clients. We are a stable and growing company with a strong, supportive culture and plenty of career advancement opportunities. Over 4,000 people working across the United States embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!).
A comprehensive benefits package is available for full-time regular employees and includes Medical (HDHP) w/Pharmacy, Dental, Vision, Long Term Disability, Health Savings Account, Flexible Spending Account Options, Life Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and Transit FSA accounts, 401K, ROTH 401K, and paid time off.
CorVel is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.
#LI-Remote
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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