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Social Behavioral Science Remote Jobs in Riverside, CA

Noor Staffing Group

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/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 ...

Corvel

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 ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

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 ...

Socotec

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 ...

Socotec

Project Environmental Professional

Irvine, CA · On-site +1

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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All JobsSocial Behavioral Science JobsSocial Behavioral Science Remote JobsSocial Behavioral Science Remote Jobs in Riverside, CA

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 Jul 18, 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:
Social Behavioral Science Remote jobs near you
Data Scientist, AI Data Foundations

Data Scientist, AI Data Foundations

NextDeavor Inc.

Irvine, CA • Remote

$114K - $175K/yr

Contractor

Posted 15 days ago

Job description

Data Scientist, AI Data Foundations
Full-time
Remote
Exclusive confidential search — details shared with qualified applicants.
 
Become a Key Player as a Data Scientist, AI Data Foundations

You will design and build the curated data structures that AI and ML applications consume, enabling higher-quality model training and inference. You will partner with model builders, product, risk, and growth stakeholders to surface actionable insights and ship production-ready vector, feature, and graph data assets. This is a Remote role.

Here's How You'll Make an Impact on the Team
  • Build and maintain vector stores for RAG, including embedding pipelines, chunking strategies, indexing, and refresh patterns.
  • Own the feature store: design, build, and operate feature definitions, freshness SLAs, lineage, and point-in-time correctness for offline/online use.
  • Design and implement graph data structures to model relationships across applicants, applications, products, lenders, decisions, and outcomes.
  • Lead data discovery: profile lending, deposit, and behavioral datasets to identify trends, segments, anomalies, and model drivers; produce actionable hypotheses for stakeholders.
  • Engineer curated, AI-ready datasets with appropriate quality checks, documentation, and governance for downstream model builders and analysts.
  • Define and run evaluation frameworks for RAG retrieval quality, feature drift, embedding quality, and graph completeness; iterate on metrics.
  • Partner closely with ML engineers and applied scientists to ensure data assets accelerate model development and serving workflows.
  • Champion responsible data use by collaborating with governance, security, and compliance teams to ensure data classification, consent, and regulatory boundaries are respected.
  • Communicate findings via write-ups, notebooks, dashboards, and short presentations for technical and non-technical audiences.
Here's What You'll Need to Be Successful in This Role
  • 4–7 years of experience in data science, ML engineering, or applied data roles, with significant time building data assets consumed by models or applications.
  • Hands-on experience designing and operating vector stores for RAG or semantic search (embedding generation, chunking, indexing, retrieval evaluation).
  • Experience building or operating a feature store (e.g., Databricks Feature Store, Feast, or custom), including offline training and online serving patterns and point-in-time correctness.
  • Experience modeling and building graph data structures and writing graph queries (Neo4j, TigerGraph, Cosmos DB Gremlin, or similar).
  • Strong proficiency in Python (pandas, NumPy, scikit-learn, PySpark) and SQL; comfortable using Databricks notebooks and jobs.
  • Practical experience with embedding models and LLM tooling (Hugging Face, OpenAI/Azure OpenAI APIs, LangChain or similar) in production or near-production contexts.
  • Demonstrated data discovery skills: profiling messy datasets, surfacing patterns, validating findings statistically, and explaining results clearly.
  • Solid grounding in classical ML concepts (supervised vs. unsupervised learning, train/test discipline, leakage, evaluation metrics).
  • Strong written and verbal communication skills for technical and business audiences.
Here's What Else Might Help You Out
  • Experience in SaaS or FinTech, especially with lending, deposit, credit, fraud, or KYC/AML data.
  • Familiarity with Databricks-native AI/ML tooling: Databricks Vector Search, Databricks Feature Store, MLflow, Unity Catalog.
  • Experience with open-source vector DBs (pgvector, Pinecone, Weaviate, Chroma, FAISS) and strong opinions on trade-offs.
  • Experience with Microsoft Azure data and AI services (Azure OpenAI, Azure AI Search, ADLS Gen2).
  • Experience evaluating RAG systems end-to-end (recall@k, faithfulness, answer quality, hallucination measurement).
  • Exposure to graph algorithms (community detection, link prediction, centrality) applied to business problems.
  • Bachelor's or Master's in CS, Statistics, Mathematics, Engineering, or related quantitative field, or equivalent experience.
Pay Range

$114,000 - $175,000/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

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