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Remote Ai Data Scientist Jobs in Riverside, CA (NOW HIRING)

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

... with modern AI techniques, including large language models (LLMs) and retrieval-augmented ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

CorVel Corporation

Data Scientist II

Irvine, CA · On-site +1

... with modern AI techniques, including large language models (LLMs) and retrieval-augmented ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

... with modern AI techniques, including large language models (LLMs) and retrieval-augmented ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

IQVIA

Senior Data Team Lead (Remote)

Anaheim, CA · Remote

$86K - $217K/yr

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 ...

IQVIA

Senior Data Team Lead (Remote)

Anaheim, CA · Remote

$86K - $217K/yr

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 ...

NextDeavor Inc.

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

Principal Data Architect Full-time Remote Exclusive confidential search -- details shared with ... Experience building feature stores or curated data products serving ML/AI workloads and BI ...

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All JobsAi Data Scientist JobsRemote Ai Data Scientist JobsRemote Ai Data Scientist Jobs in Riverside, CA

Remote Ai Data Scientist information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do remote ai data scientist jobs pay per year?

As of Aug 2, 2026, the average yearly pay for remote ai data scientist in Riverside, CA is $128,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $141,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote AI Data Scientists, and how can they be overcome?

Remote AI Data Scientists often encounter challenges such as collaborating effectively with cross-functional teams across different time zones and maintaining consistent communication to align on project goals. Additionally, access to large datasets and high-performance computing resources can sometimes be limited outside a traditional office setting. These challenges can be managed by leveraging robust collaboration tools, ensuring clear documentation, and proactively scheduling regular check-ins. Building a disciplined work routine and staying connected with the broader data science community can also support professional growth and project success.

What is the difference between Remote Ai Data Scientist vs Remote Machine Learning Engineer?

AspectRemote Ai Data ScientistRemote Machine Learning Engineer
Required CredentialsDegree in Data Science, AI, or related fields; proficiency in Python, R, SQLDegree in Computer Science, AI, or related; strong programming skills in Python, Java, or C++
Work EnvironmentData analysis, model development, research in cloud or remote settingsModel deployment, system optimization, software engineering in remote teams
Employer & Industry UsageTech companies, startups, research institutionsTech firms, AI product companies, software development firms

While both roles involve AI and data, Remote Ai Data Scientists focus on analyzing data and developing AI models, whereas Remote Machine Learning Engineers primarily implement, optimize, and deploy these models in production environments. The roles often overlap but differ in their core responsibilities and skill emphasis.

What are the key skills and qualifications needed to thrive as a Remote AI Data Scientist, and why are they important?

To thrive as a Remote AI Data Scientist, you need a strong background in statistics, machine learning, data analysis, and programming (typically Python or R), often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, PyTorch, SQL, cloud platforms (e.g., AWS, Azure), and relevant certifications like AWS Certified Machine Learning or Google Professional Data Engineer is highly valuable. Excellent problem-solving, communication, and self-management skills distinguish top performers, especially in remote work environments. These competencies ensure effective model development, collaborative teamwork, and the ability to deliver impactful AI solutions from any location.

What is a Remote AI Data Scientist?

A Remote AI Data Scientist is a professional who develops and applies artificial intelligence and machine learning models to analyze data and solve business problems, all while working from a location outside a traditional office environment. They use programming languages, statistical methods, and data engineering tools to extract insights and build predictive models. Remote AI Data Scientists often collaborate with cross-functional teams using online communication and project management tools. This role offers flexibility in work location and hours while requiring strong self-motivation and communication skills to succeed in a virtual setting.
What are popular job titles related to Remote Ai Data Scientist jobs in Riverside, CA? For Remote Ai Data Scientist jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Scientist jobs in Riverside, CA look for? The top searched job categories for Remote Ai Data Scientist jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Ai Data Scientist jobs? Cities near Riverside, CA with the most Remote Ai Data Scientist job openings:
Remote Ai Data Scientist jobs near you

Data Scientist, AI Data Foundations

NextDeavor Inc.

Irvine, CA • Remote

$114K - $175K/yr

Contractor

Re-posted 20 hours 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?

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