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Remote Data Scientist Jobs in Rio Rancho, NM (NOW HIRING)

Senior AI Technologist

Albuquerque, NM ยท On-site +1

$50.50 - $65/hr

We are seeking an experienced AI Technologist to drive the discovery, design, and adoption of enterprise AI capabilities across the organization. This is a greenfield opportunity to help build our

Showing results 21-40

Remote Data Scientist information

See Rio Rancho, NM salary details

$35.5K

$116.1K

$185.9K

How much do remote data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote data scientist in Rio Rancho, NM is $116,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $128,700.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are 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, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Rio Rancho, NM?

The most popular types of Data Scientist jobs in Rio Rancho, NM are:

What are popular job titles related to Remote Data Scientist jobs in Rio Rancho, NM?

For Remote Data Scientist jobs in Rio Rancho, NM, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist jobs in Rio Rancho, NM look for?

The top searched job categories for Remote Data Scientist jobs in Rio Rancho, NM are:

What cities near Rio Rancho, NM are hiring for Remote Data Scientist jobs?

Cities near Rio Rancho, NM with the most Remote Data Scientist job openings:

Infographic showing various Remote Data Scientist job openings in Rio Rancho, NM as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,145 per year, or $55.8 per hour.

Senior/Principal Systems Engineer- Space Remote Sensing, Onsite

Albuquerque, NM โ€ข On-site, Remote

Sandia
Marketingย โ€ขย 11 - 50 employees

$117K - $235K/yr

Full-time

Medical, Retirement, PTO

Posted 14 days ago


Job description

About Sandia
Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
  • Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
  • Extraordinary co-workers
  • Some of the best tools, equipment, and research facilities in the world
  • Career advancement and enrichment opportunities
  • Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
  • Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov
*These benefits vary by job classification.
What Your Job Will Be Like
We are seeking an experienced systems engineer to support space payload design, development, and delivery activities for multiple programs. The selected candidate will work as part of a multi-project leadership team, which will be responsible for shaping the future of space remote sensing as we transition to new design concepts and technical refresh of existing designs.
On any given day, you may be called on to:
  • Work individually and as a team to develop space system design and architecture concepts, leading to system design
  • Application of space system engineering knowledge to influence remote sensing payload design
  • Derivation and allocation of system requirements (functional, performance, interfaces) for high-reliability remote sensing systems
  • Application of systems engineering concepts to plan, analyze, organize, and integrate system capabilities to achieve a mission need for remote sensing systems
  • Significant emphasis will be on integration across teams, requiring coordination with internal and external collaborators.

Due to the nature of the work, the selected applicant must be able to work onsite.
Salary Range
$117,500 - $235,700
*Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.
Qualifications We Require
  • A Bachelor's degree in a relevant discipline and five (5) years of directly relevant experience, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development.
  • Ability to obtain a DOE Q clearance

Qualifications We Desire
The ideal R&D S&E, Systems Engineering candidate for Sandia National Laboratories will in addition possess the following:
  • Graduate degree in Engineering or a highly related field where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation).
  • Experience working with Nuclear Security Enterprise (NSE) laboratories and plants including Pantex, Kansas City National Security Campus (KCNSC), Lawrence Livermore Laboratory (LLNL) and Kansas City National Security Campus/New Mexico Operations (KCNSC/NMO).
  • Experience working on engineering design, qualification, production, or related modeling/simulation projects.
  • Strong verbal and written communication skills, ability to work effectively in multidisciplinary teams.

Also, for this posting we are seeking individuals with the following experience:
  • Your background includes experience with systems engineering principles such as requirements derivation, allocation, or management; verification planning or execution; and project leadership
  • You have demonstrated the knowledge, skills, and ability to perform independent system analysis to derive and allocate requirements
  • Your skillset includes application of systems engineering to space systems or other high-reliability remote sensing systems, including activities across the full lifecycle
  • You have demonstrated proficiency in independent task definition, problem solving, and reporting of results
  • Familiarity with remote sensing systems, primarily optical and radiofrequency (RF) systems
  • Experience with signal processing and signal detection for remote sensing applications
  • Experience with real-time data processing in high data rate systems
  • Experience within the aerospace industry, space systems, and associated complex design, production, and test processes
  • Experience with model-based systems engineering
  • Experience with rapid development, rapid prototyping and/or agile systems engineering processes
  • Active SCI clearance

About Our Team
The Space-based Nuclear Detonation Detection (SNDD) Design and Development Department is responsible for management of United States Nuclear Detonation (NuDet) Detection System (USNDS) payloads that support the United Statesยฟ space-based capability to monitor the earth's atmosphere and surrounding space for nuclear events.
The department serves as the primary technical interface and system integrator to the USNDS stakeholder community for USNDS payloads, including the GBD IIIF payload (being integrated with Global Positioning System (GPS) IIIF satellites), GBD IIIF technology insertions, and future USNDS payloads developed by Sandia. The department works with the USNDS stakeholders to define USNDS payload performance and operational requirements, and then designs, produces, and integrates payloads to support the NNSA in their as role as acquisition agent for government-furnished payloads. Payload development, production, and delivery is performed in accordance with a defined Quality Management System.
Posting Duration
This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.
Security Clearance
Position requires a Department of Energy (DOE) Q security clearance to start, or equivalent active security clearance with another U.S. government agency (e.g., DOD). Sandia is required by DOE directive to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.
Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.
EEO
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.
NNSA Requirements for MedPEDs
If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.