2

Remote Data Science R Jobs in North Carolina (NOW HIRING)

$110K - $140K/yr

Be able to communicate collaboratively with Data Scientists and ML Software developers to understand requirements we have and deliver best in class data platform. * Previous experience with ...

Product Manager

Chapel Hill, NC ยท 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 ...

Data Engineer (Onsite Hybrid)

Charlotte, NC ยท On-site +1

$112K - $135K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Data Analyst II

Concord, NC ยท Remote

$70K - $81K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Analysis, Data Compilation, Data ... Remote * Residency requirements: Candidate must have been in the US for 3 of the past 5 years

New

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative ...

next page

Showing results 1-20

Remote Data Science R information

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

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.
What are popular job titles related to Remote Data Science R jobs in North Carolina? For Remote Data Science R jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Remote Data Science R jobs in North Carolina look for? The top searched job categories for Remote Data Science R jobs in North Carolina are:
What cities in North Carolina are hiring for Remote Data Science R jobs? Cities in North Carolina with the most Remote Data Science R job openings:
junior software programmer fullstack/Data Engineer - Remote

junior software programmer fullstack/Data Engineer - Remote

SynergisticIT

Chapel Hill, NC โ€ข On-site, Remote

$95K - $114K/yr

Other

Posted 7 days ago


Job description

Get Hired with a Process!

Many job seekers assume the tech market has shut down, but the truth is companies are still hiring โ€” they're just being more selective. That means only the most prepared, polished, and employerโ€ready candidates get through. If you've sent out hundredsโ€”maybe thousandsโ€”of applications and your inbox is still silent, it doesn't mean you're not capable. It usually means your profile isn't lining up with how companies filter, shortlist, and interview candidates right now. In today's market, employers expect more than a degree or a few tutorial projects. They want candidates who look job-ready on paper, sound confident in interviews, and demonstrate hands-on ability in the tools teams actually use. That's exactly what SynergisticIT solvesโ€”because the real challenge isn't learning in isolation. The real challenge is translating learning into interviews and offers. Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brandsโ€”think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Walmart Labs, Banking, Wayfair, and many moreโ€”often in the $95k to $154k offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove. Here's the truth employers hire based on whether you can handle real workโ€”clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That's why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.

What roles are in demand right now? A lot of jobseekers assume they must become "AI experts" overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer. In other words, SynergisticIT focuses on building candidates across Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/AI based on what employers repeatedly request.

Who benefits most from this model? If you're applying and not seeing results, you're likely in one of these situations:

  • You have skills, but your resume doesn't show impact and your projects look generic
  • You know tools, but you can't explain them confidently in interviews
  • You've learned from courses, but you lack real-world structure and job alignment
  • You've built a portfolio, but it doesn't match what hiring managers evaluate

SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with "learning but not hired" bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway. SynergisticIT also supports candidates with guidance around STEM extension, and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes).

You don't need more random applications. You need a job-ready plan. Start smarterโ€”start with the right support.