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Remote Data Science R Jobs in Charlotte, NC (NOW HIRING)

Instrumentl

Senior Data Engineer

Concord, NC · Remote

$170K - $190K/yr

Exposure to ML/AI data pipelines, data analytics, or data science concepts * Familiarity with Ruby and Rails Compensation & Benefits: For US-based candidates, the target salary range for this role is ...

USAA

Director-HR Data & Analytics

Charlotte, NC · On-site +1

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 ...

1 point system

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Requirement - Data Engineer Location- USA Remote Contract W2 Assessment test required Assessment ... Bachelor's degree in Computer Science, Information Technology or equivalent work experience. 8+ ...

Deloitte

GCP Manager

Charlotte, NC · On-site +1

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 ...

LendingTree

Senior Business Analyst

Charlotte, NC · On-site +1

$90K - $116K/yr

... Data Science, Business Intelligence, or a related field * Advanced SQL skills with demonstrated ... Experience with Python, R, or other analytical programming languages * Strong experience analyzing ...

LendingTree

Senior Business Analyst

Charlotte, NC · On-site +1

$90K - $116K/yr

... Data Science, Business Intelligence, or a related field * Advanced SQL skills with demonstrated ... Experience with Python, R, or other analytical programming languages * Strong experience analyzing ...

Kelly Services

Data Analyst - Food Safety

Charlotte, NC · Remote

$40/hr

Remote Charlotte NC, or Central or Eastern US Duration: 1 Year with possible extensions Pay: $40/hr ... And Engineering & Scientific job seekers know Kelly ® as a firm with an unmatched reputation for ...

Humana

VP, Applied AI Solutions

Charlotte, NC · On-site +1

D. in Computer Science, Artificial Intelligence, Data Science, or a related field. * 10+ years of ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

VP, Applied AI Solutions

Charlotte, NC · On-site +1

D. in Computer Science, Artificial Intelligence, Data Science, or a related field. * 10+ years of ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

VP, Applied AI Solutions

Charlotte, NC · On-site +1

D. in Computer Science, Artificial Intelligence, Data Science, or a related field. * 10+ years of ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

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All JobsRemote Data Science R JobsRemote Data Science R Jobs in Charlotte, NC

Remote Data Science R information

See Charlotte, NC salary details

$36.6K

$119.9K

$191.9K

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

As of Jul 6, 2026, the average yearly pay for remote data science r in Charlotte, NC is $119,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $132,800.00 per year, depending on experience, location, and employer.

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 Charlotte, NC? For Remote Data Science R jobs in Charlotte, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Science R jobs in Charlotte, NC look for? The top searched job categories for Remote Data Science R jobs in Charlotte, NC are:
What cities near Charlotte, NC are hiring for Remote Data Science R jobs? Cities near Charlotte, NC with the most Remote Data Science R job openings:
Remote Data Science R jobs near you
Senior Data Engineer

Senior Data Engineer

Instrumentl

Concord, NC • Remote

$170K - $190K/yr

Full-time

Posted 16 days ago

Job description

Hello, we’re Instrumentl. \uD83D\uDC4B

Nonprofits do some of the most important work in the world, and most of them are still managing grants in spreadsheets. We're fixing that.

Instrumentl is a profitable, hypergrowth, YC-backed SaaS platform building the operating system for grant-funded organizations. More than 5,500 nonprofits use Instrumentl to discover, track, and win grant funding, from local community organizations to the San Diego Zoo and the University of Alaska. Collectively they’ve moved over $1 billion through our platform.

We're growing more than 40% year over year, customers love us (Ellis PMF 60+), and we're hiring people who want to build something that matters.


About the role:
You'll be our Senior Data Engineer, reporting to engineering leadership and taking ownership of a data platform that is still in its early stages. This is a high-ownership, build-from-the-foundation seat: you'll shape the architecture, stand up reliable pipelines and trusted data models, and set the engineering standards that let our data scale with the company. If you want real ownership over foundational infrastructure at a profitable, fast-growing company, rather than maintaining someone else's system at a larger one, this is that role.
What you'll do:

Platform & Architecture

  • Design and scale our data platform across pipelines, models, and orchestration
  • Define and implement systems for data ingestion, storage, processing, and transformation
  • Optimize systems for performance, scalability, and cost from the start

Pipelines & Engineering Practices

  • Build scalable ETL/ELT pipelines that ingest from APIs, databases, and event streams
  • Apply software engineering principles such as testing, CI/CD, and modular design to data infrastructure
  • Establish best practices for data modeling, testing, and quality

Data Enablement & Partnership

  • Build the semantic layer and dashboards that make data usable across the company
  • Partner with engineering, product, and business teams to shape data requirements
  • Enable trusted, accessible data for BI and analytics decision-making
What you bring:

Required

  • 5+ years building production software, with at least 2 to 3 of those focused on data engineering
  • Strong programming skills in Python and advanced proficiency in SQL
  • Proven experience building ETL/ELT pipelines end to end, from ingestion through serving
  • Hands-on experience with a cloud platform (AWS, GCP, or Azure) and a modern data warehouse (Snowflake, BigQuery, or Redshift)

Nice to have

  • Experience with workflow orchestration tools like Airflow
  • Experience supporting BI tools such as Looker or Tableau, and building semantic layers and dashboards
  • Deep fluency across the full data lifecycle: ingestion, storage, processing, transformation, and serving
  • Experience in early-stage or 0-to-1 environments
  • Experience with streaming pipelines such as Kafka or Kinesis
  • Exposure to ML/AI data pipelines, data analytics, or data science concepts
  • Familiarity with Ruby and Rails
Compensation & Benefits:

For US-based candidates, the target salary range for this role is $170,000 – $190,000 USD, plus equity. Final compensation is determined based on experience, skillset, scope of responsibility, interview performance, and geographic location. We’re committed to paying competitively and equitably.

For candidates based in Canada, compensation varies by province and will be shared by your recruiter early in the process.

Benefits

  • 100% covered health, dental, and vision insurance for employees (50% for dependents)
  • Generous PTO, including parental leave
  • 401(k)
  • Company laptop and home-office stipend
  • Bi-annual company retreats

Instrumentl is evolving rapidly. You’ll always have new challenges and opportunities to grow here.

What to expect:
Instrumentl is evolving rapidly. You’ll always have new challenges and opportunities to grow in your role - you won’t be bored! You’ll be an early member of our small but mighty team, playing a huge part in shaping our culture for the years and teammates to come.At Instrumentl:
  • We’re customer-focused. We routinely seek feedback from our customers to improve the Instrumentl experience for everyone. Our first company value is "The customer is the hero" and we mean it.
  • We love to experiment. We are constantly generating new concepts and iterating to see what works - ideation and experimentation are essential here. "Bend the curve" is another key company value.
  • We appreciate authenticity. We have a diverse range of life experiences, and we encourage open, clear communication with each other about the things that matter most to us.
  • We’re approachable and collaborative. Everyone has a voice, and we’re all building Instrumentl together.
  • We kick it every day with some of the nicest people in the world. No joke, our customers are often on the front lines educating kids, saving endangered species, and restoring watersheds. In helping them take advantage of Instrumentl’s technology, you’re helping them move the world forward.
 
Instrumentl is an equal opportunity employer. We are committed to building an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, or any other legally protected status. We encourage candidates from all backgrounds to apply. If you need a reasonable accommodation during the application or interview process, please let us know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.