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Weekend Data Science Jobs in New Mexico (NOW HIRING)

Corning

Sr Data Analytics Engineer

Apodaca, NM · On-site

$113K - $136K/yr

Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, or a related field * 3 to 5 years of experience in data engineering, data analytics, analytics engineering, or a similar ...

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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 job categories do people searching Weekend Data Science jobs in New Mexico look for?

The top searched job categories for Weekend Data Science jobs in New Mexico 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:

Weekend Data Science jobs near you

Space Data Processing Post-Bacc Student

Los Alamos National Laboratory

Los Alamos, NM • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

8th of 121 rated laboratories

Job description

Description
Job Title Space Data Processing Post-Bacc Student
Location Los Alamos, NM, US
Organization Name ISR-3/Space Data and Software Systems Group
Minimum Salary
Maximum Salary
What You Will Do
The Space Data & Software Systems Group (ISR-3) at Los Alamos National Laboratory is seeking a qualified Post
Baccalaureate Student to participate in the execution of our portfolio of space and ground-based programs. ISR
3 is an integral part of the Intelligence and Space Research (ISR) Division with core capabilities in software
development, mission operations, data exploitation, data systems development, and integration.
The successful candidate will become a member of ISR-3 and be assigned to the Data Processing Tools &
Management team. This team provides support for ground-based processing of spacecraft and instrument
telemetry by developing and maintaining data processing software, pipelines, and deployment infrastructure.
Work involves both software development and systems engineering in support of space mission operations. The
successful candidate will work regularly in a classified setting and must demonstrate a strong commitment
towards security. The successful candidate will be self-motivated, with good communication, documentation,
and teamwork skills.
The Intelligence and Space Research (ISR) Division at Los Alamos National Laboratory has been designing,
building, and operating highly innovative ground, air and space-based measurement and detection systems for
nearly 60 years. Our interdisciplinary teams of engineers, technicians, and scientists work, learn, and succeed
through a highly creative and dynamic R&D environment. We build, fly, operate and analyze data from
measurement systems deployed to space for verification of international nuclear treaties, and develop
innovative sensors, ground, airborne, and space hardware/software systems for basic scientific missions, nuclear
nonproliferation, space situational awareness and remote sensing. We also lead experiments on NASA missions,
including the Curiosity Rover, Van Allen Probes, and IBEX as well as the Mars 2020 Rover, IMAP Mission,
NACHOS hyperspectral cubesat, and BEAMPIE rocket experiment.

What You Need
Minimum Job Requirements:
Programming Experience: 2+ years of experience with C/C++ and/or Python.
Operating System Experience: Familiarity with Unix/Linux Operating systems.
Version Control System Experience: Working knowledge with one of the following version control systems: SVN,
git, or mercurial.
Collaboration/Teaming: Demonstrated ability to work closely with scientific teams. Must be able to build and
maintain effective relationships.
Communication: Strong written and verbal and presentation skills.
Education/Experience: Bachelor's degree in Computer Science, Physics, Mathematics, equivalent science degree
or B.S. in Computer Engineering, Electrical Engineering, or equivalent engineering degree. Eligibility limited to
students who have completed a bachelor's degree within the past 3 years but have not been accepted and
enrolled in a graduate program. The bachelor's degree should have been completed with a minimum
cumulative GPA of 3.0 on a 4.0 scale, or equivalent.
Desired Qualifications:
In addition to the requirements above, the following skills and attributes are desired:
Preferred:
  • Strong Linux system administration and scripting skills
  • Experience developing formalized unit and/or integration test software
  • Familiarity with data processing pipelines and common data engineering and scientific packages
  • Experience developing, testing, deploying, and iterating scientific algorithms
Additional:
  • Experience with workflow orchestration tools (e.g., Apache Airflow)
  • Familiarity with container technologies (Podman, Docker) and orchestration (Kubernetes, OpenShift)
  • Experience with satellite sensors and programs
  • Experience with CI/CD pipelines and DevOps practices
  • Familiarity with debugging tools such as the GNU Debugger (GDB)
  • Familiarity with Hierarchical Data Format 5 (HDF5) or other similar file formats
Clearance: Q Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements* for access to classified matter.
*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.
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:
Applicants must include a cover letter detailing how they meet the minimum requirements of the position.
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)
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.
No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
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 Full Time
Appointment Type UGS
UGS

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