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Data Scientist R Remote Jobs in Baltimore, MD (NOW HIRING)

Research Scientist

Baltimore, MD · On-site +1

$120K - $150K/yr

... remote sensing and field data. This role specifically is for the internal development of data ... PhD in atmospheric science, geophysics, applied mathematics, computer science, or a closely related ...

Location Fully Remote; the selected candidate will work during DCG's core Eastern Standard Time ... data analysis * Proficiency with statistical and qualitative analysis software (e.g., SPSS, R ...

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (or ... Work Flexibility This role is eligible for full time remote work.

Senior Data Architect (Remote)

Baltimore, MD · Remote

$66.75 - $89.50/hr

The Senior Data Architect will support the design and implementation of enterprise data ... Bachelor's Degree in Computer Science, Information Technology, or related field OR in lieu of a ...

Interdisciplinary

Fort George G Meade, MD · On-site +1

$143K - $196K/yr

The incumbent is required to sign a DA Form 5019-R (Condition of Employment for Certain Positions ... Basic Requirement for Data Scientist GG-1560: A. Degree: : Bachelor's degree (or higher degree) in ...

NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

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Data Scientist R Remote information

See Baltimore, MD salary details

$37.3K

$122K

$195.3K

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

As of Jul 13, 2026, the average yearly pay for data scientist r remote in Baltimore, MD is $121,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $135,100.00 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 are popular job titles related to Data Scientist R Remote jobs in Baltimore, MD? For Data Scientist R Remote jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Baltimore, MD look for? The top searched job categories for Data Scientist R Remote jobs in Baltimore, MD are:
Research Scientist

Research Scientist

Digital Harbor Foundation

Baltimore, MD • On-site, Remote

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Overview
Current projections of sea level rise aren't precise enough and potential solutions to mitigate the contributions of land based glaciers to sea level rise are underexplored. We aim to fund and accelerate existing research by increasing investments in Antarctic science as well as by internally developing accurate forecasts of sea level rise and the expected behavior of Antarctic glaciers. To achieve this we leverage state of the art computational methods combining physics and AI on remote sensing and field data. This role specifically is for the internal development of data driven physics and machine learning methods.
Climate change is destabilizing marine ice sheets, creating a risk of catastrophic sea-level rise over the next century. Arête Glacier Initiative is a new nonprofit initiative dedicated to understanding this risk and assessing the efficacy, safety, and feasibility of potential interventions to stabilize ice sheets. We aim to fund, coordinate, and accelerate research to enable informed and legitimate societal decisions regarding these interventions.
Minimum Qualifications
  • PhD in atmospheric science, geophysics, applied mathematics, computer science, or a closely related field
  • 3+ years of postdoctoral or equivalent research experience applying machine learning or deep learning to weather forecasting or Earth system modeling (e.g., forecasting, downscaling, emulation)
  • Proficiency in Python and relevant ML frameworks (PyTorch or JAX) with experience in high-performance or cloud computing environments and large-scale parallel processing
  • Experience handling noisy data, uncertainty propagation, and error estimation in a geoscientific context
  • Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical imagery
  • Demonstrated ability to work effectively in cross-functional, multi-disciplinary teams

Preferred Qualifications
  • Experience in running ice dynamics models such as ISSM, PISM or MALI
  • Experience with physics-informed neural networks, neural operators, Graph Neural Networks, or AI-accelerated FEM modeling
  • Familiarity with uncertainty quantification methods (e.g., ensembles, Bayesian inference) and sensitivity analysis techniques (e.g., adjoint methods) in a geoscientific context
  • Experience with large gridded dataset tooling (Zarr, xarray, Dask)

Knowledge, Skills, and Abilities
  • Develop, optimize, and maintain scalable processing workflows and pipelines for Finite Element Modeling
  • Design and implement physics-informed machine learning models to improve predictive accuracy
  • Quickly learn and apply new tools, datasets, and methods to address evolving project needs
  • Apply advanced statistical methods to quantify uncertainty and validate model outputs
  • Communicate complex technical concepts clearly in both written and spoken English, with the ability to communicate effectively with diverse audiences
  • Demonstrated ability to work independently and collaboratively in a remote, fast-paced environment

Additional Notes
This position is fully remote with occasional in-person meetings as needed to fulfill the responsibilities of the position.
Role and Responsibilities
  • Collaborate with data scientists, engineers and scientists to develop methods to forecast glacier ice flow and its impact on sea level rise.
  • Integrate domain knowledge into model design and interpret model outputs for physically realistic conditions
  • Develop, adapt, and evaluate probabilistic ML and hybrid physics-ML models for cryospheric processes including ice sheet flow, surface mass balance, and ocean-ice interactions
  • Develop and run large scale numerical simulations of ice dynamics.
  • Process and curate large-scale observational and synthetic datasets (e.g., satellite data, radar sounding and ice sheet model outputs) for use in model training and validation.
  • Identify sensitivities of model outputs to model imperfections of low quality source data or data gaps
  • Participate in regular team research reviews, contributing to and receiving feedback on methods and results

Other Duties
Please note that this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Arête Glacier Initiative is a newly launched nonprofit initiative, and as such, we are in the early stages of building our programs and team. This role requires a high degree of flexibility, adaptability, and a willingness to take on diverse tasks as we develop and grow.
We encourage anyone who is interested in this role to apply, regardless of whether you feel you meet 100% of the qualifications. The top candidates will bring their own unique perspectives, experiences, and backgrounds from a variety of industries along with many but not necessarily all of the skills listed above.
Compensation
Compensation for this full-time position is $120,000 - $150,000 annually, commensurate with experience.
Arête Glacier Initiative provides a best-in-class comprehensive set of benefits to support the team. All regular, full-time employees are eligible to receive:
Health Benefits & Insurance
  • Carefirst Blue Cross Blue Shield - Health, Dental, and Vision Insurance (100% of the premium paid for employees and 85% of dependents)
  • Pre-Tax Health Savings Account (HSA) (with $275 monthly employer contributions)
  • Pre-Tax Flexible Savings Account (FSA)
  • Paid Accidental Death & Dismemberment (AD&D) Insurance
  • Paid Short-Term & Long-Term Disability Insurance
  • Paid Basic Life Insurance
  • Supplemental Voluntary Life Insurance (Employee, Spouse & Dependent Children)
  • Total Pet Plan and Supplemental Wishbone Pet Insurance
  • Employee Opportunity Program (EAP) - Health and Wellness
  • Wellness Reimbursement Program

Retirement
  • 401k Retirement Plan (with 6% matching)

Paid Time Off
  • 15 Days Paid Time Off Per Year
  • 16 Paid Holidays (14 common plus 2 flexible holidays, including Dec 25 - Jan 1)
  • Paid Bereavement Leave
  • Paid Parental Leave for Moms and Dads (two weeks after first year)

If our mission and vision align with your personal values, please apply!
A cover letter outlining your qualifications for the position along with your resume is required. Interviews will be conducted virtually.
Arête Glacier Initiative is fiscally sponsored by Digital Harbor Foundation. Digital Harbor Foundation is dedicated to fostering learning, creativity, productivity, and community through education with a vision of digital equity for everyone. Driven by our sincere belief that access to opportunity is a basic right, we take bold yet practical actions to support making a better future now. Through a portfolio of projects focused on developing leadership within communities, we support those closest to challenges to take deliberate actions based in design thinking approach, backed by data analysis, grounded in a practice of collective impact, and driven by a commitment to racial equity.
Digital Harbor and Arête Glacier Initiative are an equal opportunity employer.