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Data Scientist R Remote Jobs in Santa Barbara, CA

This position has the option of being remote (with the ability to be in a BKF office when necessary ... data analysis functions, timelines, budget, and invoicing. * Serving as a technical consultant and ...

This position has the option of being remote (with the ability to be in a BKF office when necessary ... data analysis functions, timelines, budget, and invoicing. * Serving as a technical consultant and ...

Data Scientist R Remote information

See Santa Barbara, CA salary details

$41.7K

$136.6K

$218.6K

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 Barbara, CA is $136,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,600.00 and $151,300.00 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 Barbara, CA? For Data Scientist R Remote jobs in Santa Barbara, CA, the most frequently searched job titles are:
What cities near Santa Barbara, CA are hiring for Data Scientist R Remote jobs? Cities near Santa Barbara, CA with the most Data Scientist R Remote job openings:
Infographic showing various Data Scientist R Remote job openings in Santa Barbara, CA as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $136,568 per year, or $65.7 per hour.

Sr. Staff / Staff / Senior Data Engineer

Evidation Health, Inc.

Santa Barbara, CA • On-site, Remote

$140K - $350K/yr

Full-time

Posted 28 days ago


Job description

About Evidation
Evidation creates new ways to measure and improve health in everyday life-making proactive, personalized, and truly human-centered healthcare possible. By connecting directly with millions of individuals, Evidation harnesses real-world data to deeply understand health experiences, rapidly and at scale. Evidation's privacy-centric digital health measurement and engagement platform uses data science and machine learning to translate these everyday insights into high-impact health guidance, treatments, and tools. Founded in 2012, Evidation is headquartered in California with employees working around the globe.
About the role
Provide technical leadership across Data Engineering in a healthcare data environment. This role combines deep technical expertise with strong leadership and communication skills to influence direction across teams. The Staff Data Engineer acts as a trusted technical partner to internal and external stakeholders, guiding architectural decisions, mentoring peers, and ensuring delivery of customer-facing data solutions that create measurable business impact. Success in this role requires balancing strategic vision with hands-on execution, translating complex requirements into scalable, maintainable systems while fostering collaboration and alignment across Product, Data Science, and Engineering teams.
What you'll do
  • Provide technical leadership and mentorship; participate in architecture/design reviews and drive cross-team initiatives.
  • Help architect and evolve the ELT platform at scale: CDC/ingest, orchestration, transformation, runtime/ops model, and data export.
  • Integrate healthcare data sources (EHR/FHIR, labs, genomics, wearables, claims) with strong data governance.
  • Build and maintain secure, high-quality data pipelines and customer-facing data products.
  • Partner with Data Science to design and operationalize feature pipelines, model inputs, serving, and monitoring.
  • Deliver AI/ML platform capabilities including feature stores, model hosting, monitoring, and retrieval workflows.
  • Lead AI adoption across Data Engineering: copilot, codegen templates, agents, automated data documentation/dictionary, and AI-assisted data quality triage.
  • Partner with stakeholders to translate business and technical requirements into scalable data solutions.
Qualifications
  • 8+ years building and operating production data systems; recent Staff-level IC experience.
  • Proven technical leadership across architecture, design, and cross-functional delivery.
  • Strong background in data engineering
  • Hands-on experience with AWS, Snowflake, DBT, Airflow/Prefect/Dagster, and streaming platforms (Kafka, Kinesis) and database CDC.
  • Expert-level SQL and proficiency in Python/Scala with tests/CI for data code.
  • Cloud infrastructure experience (S3, Kubernetes/EKS) and IaC (Terraform/Pulumi).
  • Experience with data visualization tools (Streamlit, Tableau, Looker) and reporting automation.

Preferred Qualifications
  • Deep Snowflake expertise (micropartitions, clustering, cost optimization).
  • Experience integrating healthcare or regulated data sources (EHR, FHIR, HL7, wearable, or partner datasets such as Datavant).
  • Experience scaling dbt and managing enterprise data testing frameworks.
  • Familiarity with vector databases, LLMs, and RAG/LLMOps pipelines.
  • Experience delivering using AI-powered data engineering tools (copilot, sandboxes, automated documentation).

*This job description outlines primary duties and requirements and is not intended to identify all tasks that may be performed; individuals occupying the position may be required to perform other duties. The company may modify job duties from time to time, either in practice or in writing.
At Evidation, we strive to build an equitable and inclusive space where everyone - employees, partners, and participants - belongs and feels valued. Evidation Health values diversity and is committed to equal opportunity for all persons without regard to sex (including pregnancy, childbirth or related medical conditions), gender identity, gender expression, race, color, national origin, ancestry, citizenship, age, religion, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information or any other legally protected characteristic.
We will also reasonably accommodate the physical and/or mental disabilities of an otherwise qualified applicant with a disability in order to enable the applicant to complete the application or interview process, providing undue hardship on Evidation Health would not result.
The compensation for this full-time position includes salary + bonus + equity + benefits. The actual starting pay will be based on job-related factors, including work location, experience, training, and skill level, so pay for this role may be higher or lower than what is shown on this posting.
https://evidation.com/california-privacy-notice
#LI-Remote
The pay range for this role is:
140,000 - 350,000 USD per year (Santa Barbara)