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Weekend Data Science Jobs in New Mexico (NOW HIRING)

Data Scientist

Albuquerque, NM ยท On-site +1

$99K - $225K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into ...

Data Scientist

Albuquerque, NM ยท On-site

$99K - $225K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into ...

Data Scientist

Albuquerque, NM ยท On-site

$99K - $225K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into ...

What Data Science contributes to Cardinal Health The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business ...

You'll get support from, and work closely with, our data science and engineering teams, who know the data inside and out. You might be a good fit if you're curious, care about impact, and want to do ...

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Showing results 1-20

Weekend Data Science information

What is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

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

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

What are the most commonly searched types of Data Science jobs in New Mexico?

The most popular types of Data Science jobs in New Mexico are:

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

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

What cities in New Mexico are hiring for Weekend Data Science jobs?

Cities in New Mexico with the most Weekend Data Science job openings:

S. Scott Collis Fellowship in Data Science 2027

Accreditation Council for Graduate Medical Education

Albuquerque, NM โ€ข On-site

$100 - $125/hr

Other

Medical, Life, Retirement, PTO

Posted 12 days ago


Key responsibilities

  • Pursue self-directed research in data science and integrate with existing Sandia R&D projects.

  • Address complex problems in support of broad-ranging national security areas.

  • Collaborate with researchers on challenging questions using state-of-the-art computational resources.


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 cuttingโ€‘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 coโ€‘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 tenโ€‘hour days each week) compressed workweeks, partโ€‘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*

Worldโ€‘changing technologies. Lifeโ€‘changing careers. Learn more about Sandia at: http://www.sandia.gov

*These benefits vary by job classification.

What Your Job Will Be Like

Are you looking to perform innovative research in data science? Are you excited about research informed by realโ€‘world needs? Are you passionate about impacting problems of national importance? If so, consider the possibilities afforded by Sandia's Data Science Fellowship.

The S. Scott Collis Fellowship in Data Science seeks applicants with a demonstrated background in the interdisciplinary field of data science. Collis Fellows in Data Science work at the junction of cuttingโ€‘edged data science techniques and Sandia's national security mission and application space. Data science at Sandia emphasizes the analysis and interpretation of scientific, engineering, and observational (sensor) data, including development of scientific models, pattern identification, prediction, and knowledge extraction. Relevant analysis techniques range from artificial intelligence to advanced statistical methods, to optimization techniques, to methods designed for specialized hardware, and beyond. Examples of the scientific and engineering applications relevant to Sandia's diverse missions include nuclear deterrence and nonproliferation, numerical modeling and scientific simulation, energy systems and power grid, cyber security, operations research, geospatial analysis, neuromorphic computing, quantum computing, and many other national security domains.

The focus on dataโ€‘driven insight through development of novel methods is central to the Collis Fellowship. We seek Fellows who will emphasize foundational data science research over work for which advances in data science are incidental to other topics. For example, development of new dataโ€‘driven methods to improve the quality of numerical simulations, or methods for analyzing quantum entanglement data, are both in scope for the Collis Fellowship. However, applicants primarily interested in traditional computational and mathematical modeling should instead consider Sandia's John von Neumann Fellowship, while those focused on development of quantum algorithms or architectures should consider the Gil Herrera Fellowship.

As a Sandia Data Science Postdoctoral Fellow, you will:

  • Pursue a combination of both selfโ€‘directed research in your topic area and integration with existing Sandia R&D projects,
  • Address complex problems in support of broadโ€‘ranging national security areas,
  • Collaborate with highly motivated researchers on challenging research questions using stateโ€‘ofโ€‘theโ€‘art computational resources, and
  • Present your work at leading publication and conference venues.

The selected Fellow will receive a twoโ€‘year appointment with the potential option for a third year, which includes a highly competitive salary, moving expenses, and a generous professional travel allowance.

Sandia National Laboratories is dedicated to nurturing a culture compatible with a broad group of people and perspectives. Consistent with this dedication, we seek applicants from a wide range of backgrounds, and we foster a research community of belonging.

Qualifications We Require
  • Completion within the last three years, or anticipated completion of requirements by commencement of appointment, of a Ph.D. in a data science related area, such as mathematics, computer science, statistics, or engineering
  • Research experience in one or more areas of data science, including but not limited to data collection and sharing, analysis and interpretation of data, novel algorithm development, pattern identification, prediction, and knowledge extraction. Evidence for expertise in data science may include a combination of formal academic training, research publications and presentations, development of open source or sharable software packages, and professional experience
  • No previous postdoctoral appointments at a national laboratory
  • Ability to acquire and maintain a DOE security clearance, which requires US Citizenship
Qualifications We Desire
  • Ability to work in collaborative, interdisciplinary research environments alongside specialists in other domains
  • Related professional experience such as internships in industry or at other national labs, participation in visiting research programs, etc.
  • Proven research community leadership through activities such as participation in student or professional organizations, outreach activities, etc.
  • Excellent written, verbal, and interpersonal skills Software development experience in C++, C, Matlab, R, Python, Julia, or related languages
  • A commitment to encouraging a culture of professionalism and belonging, as demonstrated through your application materials
About Our Team

One of the country's largest research facilities, Sandia employs over 14,000 people in Albuquerque, New Mexico and Livermore, California, in an exciting and highly collaborative multidisciplinary work environment. Our mission areas include nuclear weapons, energy, nonproliferation, defense, infrastructure, homeland security, counterterrorism, cybersecurity. Data Science touches most of Sandia's diverse missions, and we collaborate with a broad range of government customers while also maintaining a research presence in the external professional community by collaborating with both universities and industry. Sandia Data Scientists publish peerโ€‘reviewed literature, participatein professional societies, and referee for conferences and journals.

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

Sandia is required by DOE to conduct a preโ€‘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 obtain and maintain a DOE Qโ€‘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, drugโ€‘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 onโ€‘site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.

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