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Data Scientist R Remote Jobs in Raleigh, NC (NOW HIRING)

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 ...

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 ...

Data Engineer II

Raleigh, NC · Remote

$143K - $187K/yr

Overview This is a remote role that may only be hired in the following locations: North Carolina ... Or a Master's degree in Computer Science, Information Science, or a related field plus three (3) ...

Data Engineer - Healthcare

Raleigh, NC · Remote

$111K - $133K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field. * 2+ years ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Senior UX Researcher AI

Raleigh, NC · On-site +1

$118K - $195K/yr

Query and analyze the existing participant database (SQL, R, or Python) to identify sampling biases ... Bachelor's degree in a technical or human-centered field (e.g., HCI, Data Science, Information ...

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

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Data Scientist R Remote information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

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

As of Jun 10, 2026, the average yearly pay for data scientist r remote in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 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 cities near Raleigh, NC are hiring for Data Scientist R Remote jobs? Cities near Raleigh, NC with the most Data Scientist R Remote job openings:

Manager, Data Engineer (Remote)

Arch Capital Group

Raleigh, NC • On-site, Remote

$100K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.
Job Summary
Strategic Analytics at Arch is a growing team at the forefront of the company's AI transformation. We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets and AI-assisted development practices. These capabilities are becoming increasingly embedded across the enterprise.
Data is central to our mission. We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both traditional analytics and emerging AI use cases.
As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead end-to-end delivery of complex data pipelines that put analytics at the center of business processes. This is a hands-on role that combines execution, technical leadership, and stakeholder partnership, including leading and developing a team of data engineers.
You will work closely with business and technical leaders to align priorities, shape scalable data solutions, and deliver measurable outcomes. You will also guide engineers and reinforce strong delivery practices, while advancing the team's capabilities in modern data engineering, AI-assisted development, and well-governed, reusable data systems.
Responsibilities
  • Lead delivery of high-quality data solutions by partnering with stakeholders and coaching data engineers.

  • Own end-to-end data engineering delivery across the project lifecycle.

  • Build strong partnerships across the organization to align priorities and deliver data-related goals.

  • Design clear, analytics-ready data structures by anticipating downstream analytical needs.

  • Evaluate and adopt new technologies and data sources to improve capability and efficiency.

  • Automate data ingestion and integration to reliably connect internal and external data sources.

  • Document data sources, definitions, and technical solutions to support transparency and reuse.

  • Reinforce strong delivery hygiene (version control, code review, automated testing, CI/CD, and operational readiness/monitoring).

  • Apply agentic, AI-assisted coding practices to accelerate delivery while maintaining appropriate controls.

  • Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access.

  • Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed.

Desired Skills
Data Engineering
  • Strong programming expertise in Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practices

  • Apache Spark proficiency (PySpark preferred) and experience with distributed data processing, including building scalable pipelines and optimizing performance for large-scale datasets

  • Cloud data platform proficiency (Snowflake, Databricks, Azure ecosystem fundamentals)

  • Data warehousing and modeling fundamentals (schema design, conformed definitions, performance optimization)

  • Data quality and observability practices (testing, reconciliation, monitoring)

Analytics & AI Readiness
  • Insurance data modeling for analytics and actuarial-ready data structures

  • MLOps familiarity supporting operationalized analytics and models

  • Semantic modeling skills (business definitions, metrics, ontology/taxonomy/domain models)

  • Business definition standardization for reuse across BI and AI use cases

Leadership & Operating Model
  • Self-directed execution and ownership in a distributed environment, combined with strong cross-functional collaboration, stakeholder partnership, and team building

  • Strong problem-solving and critical thinking skills, including the ability to decompose complex challenges

  • Clear communication across technical and business audiences, with the ability to adapt effectively in ambiguous and evolving environments

Required Skills
  • 6+ years' experience of hands-on development in Python and distributed processing environments (e.g., Spark)

  • 2-3+ years of technical leadership or project delivery ownership experience
  • Hands-on Databricks experience highly preferred

Education
  • College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent.

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.
$100,500 - $174,000/year
  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.
  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.
10200 Arch Capital Services LLC