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

ZIO Technologies

AI ML Software Engineer

Annapolis, MD · On-site +1

$113K - $136K/yr

Data science and LLM-related libraries in performance-oriented programming languages Work Environment & Requirements * Work is primarily remote within the United States * Must be available Monday ...

CareFirst

Senior Data Architect (Remote)

Baltimore, MD · Remote

$66.75 - $89.50/hr

Bachelor's Degree in Computer Science, Information Technology, or related field OR in lieu of a ... Department Data Architecture Equal Employment Opportunity CareFirst BlueCross BlueShield is an ...

NTT DATA Services

Network Manager

Annapolis, MD · On-site +1

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 Services

Network Manager

Annapolis, MD · On-site +1

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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All JobsData Scientist R JobsData Scientist R Remote JobsData Scientist R Remote Jobs in Baltimore, MD

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 Jun 11, 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:
Data Scientist R Remote jobs near you
Infographic showing various Data Scientist R Remote job openings in Baltimore, MD as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $121,958 per year, or $58.6 per hour.

Junior Data Engineer (Faculty Specialist)

Umd

College Park, MD • On-site, Remote

Full-time

Posted 3 days ago

Job description

Job Description SummaryOrganization's Summary Statement:
The A. James Clark School of Engineering at the University of Maryland serves as the catalyst for high-quality research, innovation, and learning, delivering on a promise that all graduates will leave ready to impact the Grand Challenges (e.g., energy, environment, security, and human health) of the 21st century. The Clark School is dedicated to leading and transforming the engineering discipline and profession, to accelerating entrepreneurship, and to transforming research and learning activities into new innovations that benefit millions.
The Center for Advanced Transportation Technology (CATT) Laboratory is the industry leader for transportation information analysis, visualization, and user interface design. We provide cutting-edge analytics products and an integrated suite of situational awareness tools for transportation practitioners. These products and services are rapidly changing the way governments operate and make decisions. You can learn more about our products at https://ritis.org/.
We receive hundreds of gigabytes of transportation data daily, making our petabytes of archived data likely the largest collection of traffic data in the world. Our clients use our software to monitor real-time operations and analyze historical data to generate valuable insights. Our work saves taxpayers money, improves the environment, and saves lives!
We're as passionate about transportation as we are about building great software. We care about building usable, stable, and secure software to analyze massive amounts of data. We use cutting-edge tech to build and maintain our software. We have a mature development process and use industry best practices to build the best software possible. Our team is composed of application developers, analysts, UX designers, data scientists, IT, quality assurance specialists, and customer support operating in an Agile environment.
Our office is in College Park near the University of Maryland, easily accessible by DC Metro, MARC train, bus, car, and bike. Local employees are welcome to work in our office, or other locations, with a flexible schedule around our core hours. We also have many employees who are fully remote and work from different states. UMD requires all employees to live in the US, and we periodically bring remote employees to work with colleagues on-site.
We believe varied perspectives build better products, are proud to have a diverse team, and encourage people of all backgrounds to apply.
When you join our team, you will work to define, document, and test a wide variety of transportation data analytics and operations applications. You will learn new skills and stay current with industry best practices and emerging technologies.
The CATT Lab is seeking an early career Data Engineer to join our Data Platform team. This individual will work to design, develop, and support over 40 relational database instances and distributed Cassandra and Hadoop instances. They will apply their knowledge, skills, and experience to create stable, secure, and reliable data platforms supporting custom data analytics applications. They will learn new skills and stay current with industry best practices and emerging technologies. If you're looking for complex data problems in the GIS domain to collaboratively solve with a brilliant research and development team, please apply!
Can be 100% remote (US based only)
Physical Demands:
Sedentary work performed in an office environment. Regularly required to communicate and exchange information and to use technology/devices. Position can be 100% remote (US based only)
Minimum qualifications:
B.S. Degree in Computer Science or related field
Relevant academic or internship experience with design, development, and administration of data platform solutions
Experience writing ETL scripts and standalone applications in Python and/or Java
Expertise writing and tuning SQL queries
Experience deploying, configuring, maintaining, and upgrading production-level database servers and services
Preferences:
Experience administering PostgreSQL servers, performance tuning, streaming replication, and PgBouncer failover configuration
Experience with non-relational data storage and processing solutions like Cassandra, Hadoop, Spark, Iceberg, Sedona etc.
Experience working with geospatial datasets, using geospatial extensions (such as PostGIS) and querying features.
Experience with Linux (RHEL), including writing robust Bash scripts.
Experience architecting and implementing backup and recovery strategies.
Experience with Git, Jira, Confluence, and Bitbucket.
Experience with cloud platforms including AWS and GCP.
Licenses/ Certifications:Additional Job Details

Required Application Materials:

  • Resume/CV
  • LinkedIn profile link
  • Link to repository (GitHub or similar) to show work
  • References upon request

Can this statement be added? "This position requires the employee to maintain a work presence within the United States for the duration of employment, including while performing remote work.

Best Consideration Date: 06/15/2026

Posting Close Date: 08/23/2026

Open Until Filled: Yes

Financial Disclosure RequiredNo

For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.

DepartmentENGR-Civil-Center for Advanced Transportation TechnologyWorker Sub-Type Faculty RegularSalary Range$80,000-$100,00
Benefits Summary

For more information on Regular Faculty benefits, select this link.

Background Checks

Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regardingdisclosablebackground checkinformation. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.

Employment Eligibility

The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO Statement

The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy.

Title IX Non-Discrimination NoticeResources

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