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

Product Manager

Chapel Hill, NC · On-site +1

$115K - $140K/yr

Remote candidates may be considered Compensation: Product Manager ($115,000-$140,000) per year ... Collaborate with Engineering and Data Science for product prioritization as part of sprint planning ...

Partner cross-functionally with SMEs, data science, product, and delivery teams to shape compelling ... for this remote position. IQVIA is a leading global provider of clinical research services ...

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

REMOTE About the Team LexisNexis is a leading global provider of legal, regulatory and business ... Strong proficiency in Python and common data science / machine learning libraries and frameworks.

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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 9, 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:
Product Manager

Product Manager

Well

Chapel Hill, NC • On-site, Remote

$115K - $140K/yr

Full-time

Posted 12 days ago


Job description

Description
Company:Well is a healthcare innovation company with the heart of a services organization and the DNA of a SaaS platform. Our Dynamic Engagement System transforms workforce health by uniting AI, human guidance, and proven behavioral science to reduce costs, improve outcomes, and create resilient, thriving workforces. We partner with the world's largest, most sophisticated employers and the consultants who advise them. We're a highly diverse and engaged organization whose employees are passionate about the mission of the company and whose management is passionate about the employees. We promote an employee- and member-centric culture with generous benefits, which you can learn more about here: https://www.well.co/careers.
Position Title: Product Manager
Reporting to: Principal Product Manager
Location: Hub locations in Chapel Hill, NC; Boston, MA; New York, NY; Remote candidates may be considered
Compensation:Product Manager ($115,000-$140,000) per year, depending on qualifications, plus bonus potential and benefits
Summary: We're looking for an experienced Product Manager to build the future of the Well platform while collaborating with our engineering, data science, clinical, and marketing partners. In this role, you will own multiple product areas across the Well platform, with a particular focus on leveraging generative AI and large language models to transform how we engage members and deliver health outcomes. You will envision and grow product strategy, analyze and understand trends in the industry, and build new technology and features for our members across their health engagement and behavior change journey. You are able to jump into the details of day-to-day execution while taking a step back to evaluate the long-term strategies and goals for your product area.
Key Responsibilities:
  • Become a domain expert and product lead in one or more relevant product areas and drive products through their end-to-end lifecycle, from requirements gathering to scoping, roadmap planning, execution, delivery, continuous improvement, and growth.
  • Identify and evaluate opportunities to apply generative AI, large language models, and other emerging technologies to Well's platform, translating cutting-edge capabilities into practical product features that improve member engagement and health outcomes.
  • Act as a liaison for multiple cross-functional stakeholder teams, including UX, Engineering, Data Science, Clinical, Business Development, and Marketing.
  • Collaborate with Engineering and Data Science for product prioritization as part of sprint planning, with an emphasis on data-driven decision-making and experimentation.
  • Synthesize user research, customer feedback, quantitative analysis, and market trends into long-term product roadmaps and priorities.
  • Use data, analytics, and AI/ML insights to define success metrics, build business cases, and measure product impact.
  • Take personal responsibility for keeping all Well systems and data, including sensitive member data, secure and safe, according to Well data and security policies and HIPAA guidelines.

Requirements
  • Bachelor's degree in engineering, computer science, business administration, data science, information science, or related field.
  • 3+ years in product management, engineering, or related industry experience.
  • Experience defining software projects, collecting requirements, designing process solutions, writing detailed functional specifications, coordinating efforts to scope, schedule, and deploy solutions.
  • Strong analytical and quantitative skills with intermediate-to-advanced proficiency in SQL and analytics tools (e.g., Tableau, Looker, Amplitude). Demonstrated ability to use data and metrics to develop business cases and inform product decisions.
  • Familiarity with AI/ML concepts, including large language models (LLMs) and generative AI. Ability to understand model capabilities, evaluate AI-powered product features, and collaborate effectively with data science and ML engineering teams.
  • Experience in healthcare, health tech, or digital health products.
  • Hands-on experience with AI/ML product development, prompt engineering, or building applications that integrate LLM capabilities.
  • Experience with experimentation frameworks (A/B testing, feature flagging) and data pipelines.
  • Background in behavioral science, behavior change, or member engagement strategies.
  • Familiarity with HIPAA compliance and healthcare data standards.