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Data Scientist R Remote Jobs in Santa Ana, CA (NOW HIRING)

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

$48 - $62/hr

... remote. Professional Summary: The Principal Data Scientist will drive innovation across the full ... Strong programming expertise in Python (and/or R); experience with libraries such as scikit-learn ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

... remote. Professional Summary: The Principal Data Scientist will drive innovation across the full ... Strong programming expertise in Python (and/or R); experience with libraries such as scikit-learn ...

Molina Healthcare

Data Scientist

Long Beach, CA · On-site +1

$79K - $172K/yr

Execute data science and statistical analytical experiments methodically to help solve various ... Strong programming skills in languages such as Python and R, and experience with machine learning ...

New

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

We have an exciting opportunity for a Data Scientist within our data product space. This individual ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

We have an exciting opportunity for a Data Scientist within our data product space. This individual ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Corvel

Data Science Manager

Irvine, CA · On-site +1

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build ...

Relativity

Senior Applied Scientist

Los Angeles, CA · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team operates at the core of Relativity's AI development.

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

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All JobsData Scientist R Remote JobsData Scientist R Remote Jobs in Santa Ana, CA

Data Scientist R Remote information

See Santa Ana, CA salary details

$39K

$127.7K

$204.5K

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

As of Jun 14, 2026, the average yearly pay for data scientist r remote in Santa Ana, CA is $127,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $141,500.00 per year, depending on experience, location, and employer.

What are Data Scientist R Remote jobs?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

How does a remote Data Scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

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

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

What is the difference between Data Scientist R Remote vs Data Analyst R Remote?

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

What are popular job titles related to Data Scientist R Remote jobs in Santa Ana, CA? For Data Scientist R Remote jobs in Santa Ana, CA, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Santa Ana, CA look for? The top searched job categories for Data Scientist R Remote jobs in Santa Ana, CA are:
What cities near Santa Ana, CA are hiring for Data Scientist R Remote jobs? Cities near Santa Ana, CA with the most Data Scientist R Remote job openings:
Data Scientist R Remote jobs near you
Principal Data Scientist

Principal Data Scientist

KORE1 Technologies

Duarte, CA • Remote

$48 - $62/hr

Full-time

Posted 24 days ago

Job description


KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Scientist that is fully remote.

Professional Summary:
The Principal Data Scientist will drive innovation across the full lifecycle of AI/ML initiatives. You'll work hands-on with structured and unstructured healthcare data, design and implement state-of-the-art models (including LLMs and RAG-based architectures), and lead cross-functional collaborations to bring solutions to production at scale. This role combines deep technical expertise with strategic influence and mentorship.

Key Responsibilities
Research & Innovation
* Initiate and lead novel research in machine learning and AI, especially in deep learning, large language models (LLMs), and retrieval-augmented generation (RAG).
* Stay current with advancements in AI/ML and assess their relevance to healthcare challenges.
* Investigate and adapt cutting-edge research (white papers, preprints, publications) into practical applications.
Model Development & Deployment
* Design, build, train, evaluate, and deploy ML models, including supervised, unsupervised, reinforcement learning, and deep learning techniques.
* Fine-tune pre-trained models (including transformer architectures) for domain-specific use cases.
* Develop and operationalize agentic workflows to enable AI-driven automation of business tasks.
Production & Monitoring
* Deploy models in cloud environments (Azure, AWS, Databricks) with robust MLOps and CI/CD practices.
* Build and maintain monitoring systems for real-time model performance, drift detection, and alerting.
* Ensure compliance with model governance, privacy, and healthcare regulatory standards.
Cross-functional Leadership
* Partner with engineering, data engineering, product, and business stakeholders in an agile environment to ensure timely, impactful deliveries.
* Mentor junior data scientists and promote best practices in experimentation, reproducibility, and responsible AI.
* Translate complex analytics into actionable insights and communicate effectively with both technical and non-technical stakeholders.

Minimum Education:
  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
  • 4 years of experience plus min experience may substitute for minimum education requirements.
Minimum Experience:
  • 10+ years of experience in Data Science, with a focus on machine learning, algorithm design, and statistical modeling
  • 3+ years of experience deploying ML models into production environments using Azure, AWS, and Databricks.
  • Strong programming expertise in Python (and/or R); experience with libraries such as scikit-learn, PyTorch, TensorFlow, Transformers, etc.
  • Proven experience developing and fine-tuning deep learning models, including transformer-based architectures.
  • Experience working with structured (e.g., claims, EHR) and unstructured (e.g., clinical notes) healthcare data.
Skills/Abilities:
  • Solid understanding of ML model evaluation metrics, data preprocessing, feature engineering, and data imputation.
  • Strong SQL skills and familiarity with both relational and NoSQL databases.
  • Comfortable working in Agile teams and navigating ambiguity in startup environments.
  • Builds and promotes a culture of personal and outcomes-based accountability.
  • Demonstrated ability to operate in an ambiguous, evolving, and fast-paced environment.
  • Must have innovative mindset in ensuring that the organization is adapting accordingly with the changing environment.
  • Strong track record in working independently and in a team setting, under pressure, and handling multiple deadlines.
  • Strong analytical capabilities coupled with the ability to identify issues, obtain mutual agreement as to the resolution and implement change.
  • Exceptional communication (written and verbal) and interpersonal skills are required.
  • Well-developed organization, analytical, and innovative mindset to manage multiple projects and priorities.
  • Proven experience and aptitude to participate as part of high functioning team within a virtual work environment.
  • Ability to craft business solutions to complex business problems.
  • Ability to manage all processes throughout the life cycle of a project..
  • Demonstrated experience in collaborating across the organization regardless of level, function, or geography.
  • Proven ability to establish strong relationships with internal and external stakeholders.
  • Software/Apps: Microsoft (MS) Office365, MS Office (Excel, Word, PPT), MS TEAMs, PeopleSoft, Slack, Zoom, Salesforce.com, Amazon Connect

Preferred Education:
  • Master's degree in Computer Science, Data Science, Statistics, or a related field.
Preferred Experience:
  • 12+ years of experience in Data Science, with a focus on machine learning, algorithm design, and statistical modeling.
    * 4+ years of experience deploying ML models into production environments using Azure, AWS, and Databricks.
    * Experience with retrieval-augmented generation (RAG) and agentic workflows.
    * Familiarity with Databricks platform and tools including: Databricks One environment, Genie, Agent Bricks.
    * Experience in deploying or monitoring models in Databricks MLflow or similar platforms.
    * Strong domain knowledge in healthcare (payer or provider) including medical coding, care gaps, or quality measures (e.g., HEDIS, Star ratings).
    * Experience with NLP and hybrid symbolic-statistical approaches.
    * Track record of publishing research or contributing to open-source projects.



Pay range is typically anywhere from 48 - 62/hr DOE.

ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.

Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.