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Data Scientist R Remote Jobs (NOW HIRING)

Data Scientist

$95K - $110K/yr

Summary We are seeking a data scientist to be a leading contributor towards our demand modeling and ... R Shiny, Tableau, D3), web programming languages (e.g. HTML, CSS, JavaScript), and general ...

Data Scientist

$103K - $120K/yr

Proficiency in diverse data science technologies (e.g., PyTorch, TensorFlow, Scikit-learn, NLP, R ... Remote position requiring availability to collaborate during core business hours (9:00 AM - 5:00 PM ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

As a Data Scientist, you will apply your expertise in statistical analysis and data mining to ... Area - Remote (candidates MUST BE located in the National Capital Region - DMV) • Clearance ...

Remote Fulltime Summary: Hands-on, independent contributor who can originate work, turn ambiguous ... Explore data, profile/validate and build quick prototypes (R/Python acceptable). Identify ...

Advanced Trade Analytics Platform (ATAP) Remote (U.S.) Active Top Secret Clearance Required Lead ... SQL * R * Spark * Databricks * TensorFlow * PyTorch * Scikit-Learn * Power BI * Tableau * Git

Remote (10% Travel to Sunnyvale, CA) Salary: $75.00-$80.00/Hourly Role: Data Scientist Specialist ... R programming experience to create graphical representations or simulations of data as well as ...

Data Scientist

Saint Louis, MO · Remote

$55 - $60/hr

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data foundation-heavy Data Scientist role with strong overlap into Data Engineering. What the client is ...

Data Scientist

Frisco, TX · On-site +1

$101K - $198K/yr

R Statistics * Statistical Analysis * Statistics * Time Series Analysis * Cloud Environment Reports ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Python, SQL, R, PySpark • Technology: Azure, GCP, Databricks, Snowflake, SQL Server • Data Science Libraries: Pandas, Numpy, Matplotlib, Scikit-learn, LightGBM, XGBoost, OpenAI • Coursework:

... and remote resources to get the job done - consistently Here is the Job details: Title: Data ... like SAS or R) Experience using machine learning algorithms High proficiency in the use of ...

Data Scientist

Columbus, OH · On-site +1

$101K - $198K/yr

R Statistics * Statistical Analysis * Statistics * Time Series Analysis * Cloud Environment Reports ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Data Scientist

Columbus, OH · On-site +1

$101K - $198K/yr

R Statistics * Statistical Analysis * Statistics * Time Series Analysis * Cloud Environment Reports ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Data Scientist

Quantico, VA · Remote

$150K - $225K/yr

... R, and SQL. Description : The Data Scientist will provide full-spectrum data science and data engineering support to a strategic intelligence mission. Ensure efficient and organized use of ...

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Strong proficiency in SQL, Python, and R * Experience with Power BI, Tableau, or similar ... Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the ...

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Strong proficiency in SQL, Python, and R * Experience with Power BI, Tableau, or similar ... Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the ...

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

Strong proficiency in Python, R, SQL, GitHub, and IDEs such as PyCharm or VS Code * Solid ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

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Data Scientist R Remote information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jul 8, 2026, the average yearly pay for data scientist r remote in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.

More about Data Scientist R Remote jobs
What cities are hiring for Data Scientist R Remote jobs? Cities with the most Data Scientist R Remote job openings:
What states have the most Data Scientist R Remote jobs? States with the most job openings for Data Scientist R Remote jobs include:
Infographic showing various Data Scientist R Remote job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

$95K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Summary
We are seeking a data scientist to be a leading contributor towards our demand modeling and product advancement efforts. As an early RightsHelper hire, you would help oversee and develop key components of our industry-leading RightsHelper platform. The ideal candidate has experience executing and maintaining accurate and interpretable models for pricing, forecasting, or marketing applications in a fast-paced, enterprise environment. Our platform provides a unique opportunity for data scientists to work closely with leading sports and live event organizations in developing innovative techniques and advancing their decision-making.
Job Functions
  • Perform model calibration processes for our partner organizations; this includes externally interacting with partner analytics leaders and internally documenting, standardizing, and improving these processes.
  • Support partners in successfully delivering on their priorities, platform setup, and overall management of modeled deliverables.
  • Collaborate with other Data Science team members to push root-level improvements across demand modeling, sales forecasting, pricing, and ticket inventory optimization applications.
  • Maintain and improve upon codebase with version control, collaboration, and general software development best practices.
  • Provide input on product development, data collection, data architecture, front-end development, and general business strategy.
  • Help build a collaborative engineering culture focused on ownership and empathy for our customers.

Requirements
Required Experience
  • Bachelor's or Master's Degree in Statistics, Economics, Mathematics, Operations Research, Computer Science, or a related field.
  • At least two years of experience in revenue (yield) management, data science, statistical analytics, machine learning, consulting, or a related field.
  • Familiarity and good judgment with a broad range of modeling methodologies and tools, such as exploratory data analysis, regression models, simulation, discrete choice, optimization, Bayesian statistics, and causal inference.
  • Experience in mathematical and statistical programming (R required, Python is a plus).
  • Experience with using git/version control tools in a collaborative team environment.
  • Excellent reasoning, problem-solving, deduction, and communications skills.
  • Demonstrated ability to meaningfully generate value in an entrepreneurial environment.

Preferences
  • Experience with cloud computing (e.g. AWS, Docker) is a plus.
  • Proficiency with SQL and relational databases is a plus.
  • Knowledge of BI presentation tools and packages (e.g. R Shiny, Tableau, D3), web programming languages (e.g. HTML, CSS, JavaScript), and general programming languages (e.g. C, C++, Java) is a plus.
  • Knowledge of sports, concert, or ticketing industries is a plus.
  • Exhibited ability to excel in a fast-paced / startup environment is a plus.

Benefits
The base pay for this position is $95,000-$110,000. A bonus will be provided as part of the compensation package.
Benefits
  • Medical, dental, and vision insurance
  • 401(k) with employer match
  • Paid parental leave (up to 14 weeks)
  • Flexible PTO

About Us
RightsHelper is a ticketing analytics and operations platform. Our team includes operators, data scientists, and engineers who have worked inside professional sports organizations and understand the complexity of managing ticketing businesses at scale.
We partner with teams and rightsholders across sports and live entertainment to support smarter, more confident decisions-without compromising flexibility, transparency, or control.