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

Job Summary The Manager, Data Analytics & Decision Science will lead a team responsible for turning ... REMOTE DETAILS: * You will work remotely, full-time. It will require a dedicated, quiet, private ...

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

Remote Work: No Job Number: R0237241 Location: Albuquerque,NM,US Share job via: Share Data Engineer ... Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ...

... emerging data discussions, clinical trial activities, uncovering barriers in patient journey ... Graduate degree in science or healthcare required; doctoral degree preferred (MD, PhD, DNP, PharmD ...

... emerging data discussions, clinical trial activities, uncovering barriers in patient journey ... Graduate degree in science or healthcare required; doctoral degree preferred (MD, PhD, DNP, PharmD ...

... emerging data discussions, clinical trial activities, uncovering barriers in patient journey ... Graduate degree in science or healthcare required; doctoral degree preferred (MD, PhD, DNP, PharmD ...

... emerging data discussions, clinical trial activities, uncovering barriers in patient journey ... Graduate degree in science or healthcare required; doctoral degree preferred (MD, PhD, DNP, PharmD ...

... on argenx's scientific data, products and trials, and is responsible for engagement with Key ... Ability for 50% travel #LI-Remote For applicants in the United States: The annual base salary ...

... data,productsand trials, andis responsible forengagement with Key Opinion Leaders at academic and ... Ability for 50% travel #LI-Remote For applicants in the United States: The annual base salary ...

Summary #LI-Remote The Medical Science Liaison (MSL) role is a field based, customer-facing, non ... emerging data discussions, clinical trial activities, uncovering barriers in patient journey ...

... emerging data discussions, clinical trial activities, uncovering barriers in patient journey ... Graduate degree in science or healthcare required; doctoral degree preferred (MD, PhD, DNP, PharmD ...

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Remote Reddit Data Science information

What does a remote Reddit data scientist do?

A Remote Reddit Data Science job typically involves analyzing large sets of data from Reddit to uncover patterns, trends, and insights. Data scientists in this role may work on natural language processing, sentiment analysis, user behavior modeling, and content recommendation systems. They use programming languages like Python or R, as well as tools such as SQL, to gather and interpret Reddit data. The role often requires collaboration with other remote team members, communication of findings to stakeholders, and the ability to work independently. This position is ideal for those interested in social media analytics and remote work flexibility.

What skills and qualifications are needed to thrive as a remote Reddit data scientist?

To thrive as a Remote Reddit Data Scientist, you need expertise in statistics, machine learning, and programming languages like Python or R, typically supported by a degree in data science, computer science, or a related field. Familiarity with data analysis tools (such as SQL, Pandas, or Spark), cloud platforms, and experience with Reddit's API or similar social media data sources are commonly required. Strong problem-solving, communication, and the ability to work independently are crucial soft skills in this remote role. These skills are vital for uncovering actionable insights, collaborating effectively across teams, and driving data-driven decision-making in a distributed work environment.

How do remote Reddit data science teams typically collaborate on projects and share insights?

Remote Reddit Data Science teams often rely on a combination of digital collaboration tools, such as Slack, GitHub, and shared dashboards, to communicate findings and coordinate project tasks. Regular virtual meetings and sprint planning sessions help ensure alignment and transparency across team members. Since data scientists often work across product, engineering, and community teams, strong documentation and asynchronous updates are crucial for keeping everyone informed and driving projects forward. This collaborative structure allows team members to contribute insights, review code, and iterate on models efficiently, even when working from different locations.

What is the difference between Remote Reddit Data Science vs Remote Reddit Data Analyst?

AspectRemote Reddit Data ScienceRemote Reddit Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Data Analysis, Statistics, or related field; proficiency in data visualization
Work EnvironmentCollaborative teams, research-focused projects, advanced analyticsReporting, dashboard creation, data interpretation
Employer & Industry UsageTech companies, social media platforms, research institutionsMarketing firms, social media companies, analytics agencies
Common Search & ComparisonFocus on predictive modeling and complex data analysisFocus on data reporting and insights generation

Remote Reddit Data Science involves advanced analytics, machine learning, and research-oriented tasks, often requiring specialized degrees. In contrast, Remote Reddit Data Analyst roles focus on interpreting data, creating reports, and visualizations to inform decisions. Both roles are integral in social media and tech industries but differ in complexity and scope.

What are popular job titles related to Remote Reddit Data Science jobs in New Mexico?

For Remote Reddit Data Science jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Remote Reddit Data Science jobs in New Mexico look for?

The top searched job categories for Remote Reddit Data Science jobs in New Mexico are:

Infographic showing various Remote Reddit Data Science job openings in New Mexico as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution.

Postdoctoral Researcher - Space Remote Sensing and Data Science

Los Alamos, NM • On-site, Remote


Los Alamos National Laboratory
Scientific Research and Development Services • 5 - 10K employees

9.2

Company rating: 9.2 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

8th of 120 rated laboratories

Great coworkers

People enjoy working here

Good employer


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Job description

Description
Job Title Postdoctoral Researcher - Space Remote Sensing and Data Science
Location Los Alamos, NM, US
Organization Name ISR-6/Space Remote Sensing and Data Science
Minimum Salary
Maximum Salary
What You Will Do
This position is for a postdoctoral researcher in the Space Remote Sensing and Data Science Group (ISR-6) at Los Alamos National Laboratory. You will work closely with interdisciplinary teams on projects related to remote sensing, data science, image and signal processing, machine learning, and sensor data analysis. Responsibilities will be tailored to your background and interests, with opportunities to contribute to innovative research and development.
As a postdoctoral researcher, you will be involved in advancing methods and technologies for collecting, processing, analyzing, and interpreting data from space, airborne, ground-based, and laboratory remote-sensing systems. Candidates should have broad technical skills and an interest in applying computational and analytical techniques to scientific challenges.
In this role, you may contribute to one or more of the following areas:
  • Developing and applying algorithms to process and analyze sensor data (including images, spectra, time series, or other types)
  • Using statistical, mathematical, or computational methods to address detection and characterization problems
  • Modeling sources, sensors, and measurement uncertainties
  • Analyzing and interpreting experimental or field-collected data
  • Contributing to the design or calibration of sensing systems and instruments
  • Participating in laboratory, field, or deployment activities to collect and evaluate remote-sensing data
  • Communicating research findings through reports, presentations, publications, and teamwork

What You Need
Minimum Job Requirements:

  • PhD in engineering, physical sciences, computer science, mathematics, or a related field (or will have completed by start date)
  • General experience in scientific computing, data analysis, or algorithm development
  • Ability to work collaboratively with diverse teams and communicate research results effectively
  • Demonstrated strong analytical problem-solving abilities to overcome technical challenges in remote sensing and data science challenges

Desired Qualifications:
  • Familiarity with one or more areas such as image/signal processing, machine learning, statistical analysis, sensor systems, or scientific software
  • Experience with programming languages or scientific computing tools
  • Experience with experimental or field research, instrumentation, or data collection
  • Willingness to develop new skills and contribute to collaborative research projects

Physical Requirements:
  • Physical movement between buildings located primarily within a half-mile radius, which may include movement across uneven and/or inclined ground
  • Physical movement within large interior facility spaces and corridors, which may require travel up and down stairs
  • Direct interaction with hardware, equipment, and instruments in office and laboratory environments

Work Location : The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Note to Applicants:
Please submit a resume and a cover letter describing your research interests, relevant experience, and how your background aligns with the position. Highlight any experience in scientific computing, data analysis, remote sensing, sensor research, or other areas relevant to the role.
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
  • PPO or High Deductible medical insurance with the same large nationwide network
  • Dental and vision insurance
  • Free basic life and disability insurance
  • Paid childbirth and parental leave
  • Award-winning 401(k) (6% matching plus 3.5% annually)
  • Learning opportunities and tuition assistance
  • Flexible schedules and time off (PTO and holidays)
  • Onsite gyms and wellness programs
  • Extensive relocation packages (outside a 50 mile radius)

ISR-6 is a research group that designs and deploys advanced sensing systems and analysis tools for mission areas including nuclear non-proliferation, space domain awareness, atmospheric and planetary science, and applied intelligence. The group's staff includes engineers, scientists, and data specialists working collaboratively to develop cutting-edge technologies.
Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
Clearance: Q (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance, and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.
*Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.
Instructions on How to Activate/Create a LANL Jobs Account:
Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account:
  • Select the Click Here button if you have been employed with the Lab or received insurance coverage.
  • Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system.
  • Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important: Enter the validation code within 15 days to activate your account or your account will be deactivated.
Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account:
  • Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account.
  • From here, you will establish an account with username and password.

How to apply:
Login to Your Account to Complete the Application Process
  • Click the Vacancy Name number (in blue) to view any job's details.
  • Click Apply or Add to Basket to apply later. Tip: To apply for a job or save your basket, you must have a LANL jobs account.
If you experience any technical issues, please email applyhelp@lanl.gov for assistance.
Employment Status
Appointment Type Postdoc
Postdoc


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