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Remote Data Science R Jobs in New Mexico (NOW HIRING)

The Solutions Delivery Engineer is a critical part of the overall data center customer success team ... Computer Science or Networking degrees are ideal. * Experience deploying solutions on a distributed ...

Waters is a global leader in life sciences, dedicated to accelerating the benefits of pioneering ... Maintain accurate and timely opportunity, pipeline, and forecast data in CRM. * Leverage available ...

Deep knowledge of IUPAC nomenclature, functional groups, stereochemistry (chirality, R/S ... Guides students through structure determination from spectral data, multi-step synthesis planning ...

Band Level 3 Summary #LI-Remote This is a field-based and remote opportunity supporting key ... Comfort in using sales data reporting tools to understand trends and coupling with customer ...

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

$166K - $202K/yr

Act as scientific leader to MAx in the latest modeling methodology that optimizes the assessment of ... Experience using Visual Basic, and software including R, Python, OPEN BUGS and JAGs, ideally with ...

Remote, New Mexico Travel: U p to 10%, contingent on business needs Duties/Responsibilities ... Ability to analyze data and prepare clear, concise technical reports * Familiarity with wildlife ...

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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 New Mexico? For Remote Data Science R jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Remote Data Science R jobs in New Mexico look for? The top searched job categories for Remote Data Science R jobs in New Mexico are:
What cities in New Mexico are hiring for Remote Data Science R jobs? Cities in New Mexico with the most Remote Data Science R job openings:

Software Developer 3

Coastal International Security

Los Alamos, NM • On-site, Remote

$62 - $66/hr

Contractor

Posted 29 days ago


Job description

Computer Programmer 3 – Software Applications & Systems (DOE/LANL)

Location: Los Alamos, NM | Hybrid / Remote eligible

Compensation: $62–$66/hr

Schedule: Flexible - 9/80A, 4/10s, or 5/8s available

Duration: 1-Year Contract (Extension potential)

Citizenship: U.S. Citizenship Required

Clearance: Ability to obtain DOE Q Clearance

WHY THIS ROLE

Los Alamos National Laboratory is seeking an experienced Computer Programmer 3 to support mission-critical software applications and systems development. At this level you are considered an expert in your field - resolving complex problems creatively, contributing to new technical standards, and working with significant latitude in determining objectives and methods. You will partner directly with customers and end users to understand requirements, coordinate resources, and drive project execution from concept through implementation in one of the nation's most technically demanding federal environments.

KEY RESPONSIBILITIES

  • Investigate, design, document, and implement new hardware and software solutions supporting laboratory operations
  • Work with customers and end users to understand requirements, coordinate resources, and plan and track project execution
  • Analyze user requirements and evaluate work processes to develop effective information system solutions
  • Develop, modify, and maintain assigned programs including design and implementation of file and record interrelationships
  • Diagnose and correct errors in logic and coding; monitor operation of assigned programs and respond to problems proactively
  • Implement and maintain assigned portions of scientific programming projects applying established techniques to mathematical, statistical, engineering, or scientific problems
  • Translate mathematical notation into processing logic and code for scientific applications including real-time command and control, scientific data reduction, and signal processing
  • Test, document, and write operator instructions for assigned programs
  • Confer with other EDP personnel to obtain or provide factual data supporting system integration
  • Contribute to the development and implementation of new technical standards and methods
  • Recognize and manage probable interactions of related programs and coordinate activities of other personnel as needed

REQUIRED QUALIFICATIONS

  • Bachelor's degree + minimum 8 years of related experience - OR equivalent combination of education and experience
  • Wide-ranging programming experience with ability to resolve complex issues in creative and effective ways
  • Expert-level knowledge in a relevant programming area such as record-keeping operations, statistical or scientific problem solving, or enterprise system development
  • Experience developing programs linked across multiple systems where output of one becomes input for another
  • Familiarity with related system software, computer equipment, and standard programming procedures
  • Ability to work without considerable direction and determine methods and procedures for new assignments
  • Strong written communication skills for technical documentation and operator instructions

PREFERRED QUALIFICATIONS

  • Post-graduate coursework in Computer Science, Software Engineering, or related field
  • Experience in scientific programming including real-time command and control, data reduction, or signal processing
  • Prior experience at DOE national laboratories or federal government environments
  • Familiarity with payroll, personnel, inventory, or enterprise record-keeping systems

MANDATORY REQUIREMENTS - READ BEFORE APPLYING

  • Must be a U.S. Citizen and able to obtain a DOE Q Clearance
  • Bachelor's degree + 8 years of experience OR equivalent combination required
  • Must have expert-level programming experience with demonstrated ability to resolve complex problems independently

LANL (Los Alamos National Laboratory) | Equal Opportunity / Affirmative Action Employer | All postings current as of April 2026. Compensation ranges subject to change.