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Weekend Data Science Jobs in New Mexico (NOW HIRING)

SCEYE INC

Data Analyst

Moriarty, NM · On-site

Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or related field, or equivalent experience. * 2-4 years of experience in a data analyst or similar ...

Cardinal Health

$72K - $91K/yr

The role emphasizes experimentation, rapid prototyping, and close collaboration with data engineers, data scientists, and business stakeholders. Responsibilities * Document and evaluate business ...

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists, electrical engineers, test engineers, software developers, and data consumers in a fast-paced, agile ...

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists, electrical engineers, test engineers, software developers, and data consumers in a fast-paced, agile ...

Booz Allen Hamilton

Data Engineer

Albuquerque, NM

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists, electrical engineers, test engineers, software developers, and data consumers in a fast-paced, agile ...

Booz Allen Hamilton

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists, electrical engineers, test engineers, sof t war e developers, and data consumers in a fast-paced, agile ...

Tetra Tech

Environmental Scientist

Albuquerque, NM · Hybrid

$72K - $95K/yr

Multi-media sampling Field audits and inspections Organize and review data Write and perform ... Travel with overnight and weekends is required for some of our field efforts and anticipated to be ...

Tetra Tech, Inc.

Environmental Scientist

Albuquerque, NM · On-site

$72K - $95K/yr

... data • Write and perform technical reviews of reports • Plan field investigations • ... Travel with overnight and weekends is required for some of our field efforts and anticipated to be ...

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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All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in New Mexico

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

Data Analyst

SCEYE INC

Moriarty, NM • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago

Job description

Data Analyst


Status: Full Time

Location: Moriarty, NM

Reports To: Chief of Technology


Who Are We:

Sceye is a high-growth technology company, building the next generation of instant communications, imaging and remote sensing infrastructure through stratospheric platforms.


Our lighter-than-air high-altitude platform systems (LTA HAPS) are capable of maintaining position over an operational area in the stratosphere (altitudes of 18–21km). They can carry multiple telecommunications, imaging and remote sensing payloads, providing unique functionality, cost, environmental and societal advantages.


Our HAPS can be deployed in a matter of days and at a fraction of the cost of traditional infrastructure solutions. This makes them an ideal solution for providing telecommunications connectivity, emergency solutions in the event of natural or other disasters, environmental and infrastructure monitoring, Earth observation and a range of defense applications.


Our customers & partners include some of the largest global telecommunications companies, infrastructure operators, climate researchers, civil and defense agencies.


At Sceye, we aim high, and we want you to join us at the stratospheric edge of innovation. As part of our mission-driven team, you'll contribute to building breakthrough technologies that are changing the way we connect and observe the world. We are looking for individuals who bring not only deep expertise but also bold vision and an unwavering commitment to excellence.


Position Summary:

Sceye is seeking a detail-oriented Data Analyst to support flight test, engineering, and business teams with data-driven insights. This role will work with telemetry, sensor, and operational data generated by our stratospheric platforms, helping teams make informed decisions on vehicle performance, mission readiness, and business operations.


What You’ll Do:

  • Collect, clean, and analyze telemetry and sensor data from flight tests and ground operations.
  • Build dashboards and reports to track vehicle performance, mission metrics, and operational KPIs.
  • Partner with Flight Test, Systems Engineering, and Avionics teams to answer data-driven questions about vehicle performance.
  • Support post-flight data reduction and analysis to inform engineering decisions.
  • Maintain and improve data pipelines that move telemetry and operational data into analysis-ready formats.
  • Perform statistical analysis to identify trends, anomalies, and areas for improvement.
  • Document data definitions, sources, and analysis methodology for internal use.
  • Collaborate with software engineering teams to improve data quality and availability.
  • Support business and operations teams with ad hoc reporting and analysis requests.
  • Present findings clearly to both technical and non-technical stakeholders.


What We're Looking For:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or related field, or equivalent experience.
  • 2-4 years of experience in a data analyst or similar analytical role.
  • Proficiency in SQL and at least one analysis/scripting language such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
  • Strong understanding of statistics and data quality principles.
  • Excellent attention to detail and ability to work with large, messy datasets.
  • Strong communication skills, including the ability to explain analysis to non-technical audiences.


Preferred Qualifications:

  • Experience working with time-series or telemetry data, especially from sensors or flight/test systems.
  • Familiarity with aerospace, engineering, or manufacturing data environments.
  • Experience with data pipeline or ETL tools.
  • Exposure to machine learning or predictive analytics techniques.


Knowledge, Skills & Abilities:

  • Strong analytical and problem-solving mindset with curiosity about the underlying data.
  • Ability to work independently and manage multiple analysis requests in a fast-paced environment.
  • Clear and effective written and verbal communication skills.
  • Comfortable working with engineers, operators, and business stakeholders alike.
  • Detail-oriented with a commitment to data accuracy and integrity.


Physical Requirements:

  • Primarily an office-based role involving extended periods at a computer workstation.
  • Occasional visits to hangar or production facilities to understand data sources.
  • Ability to walk throughout office and production facilities as needed.


What We Offer:

At Sceye, we're building more than high-altitude platforms—we're building a workplace where people (and their pups) thrive. Here's what you'll enjoy:


  • Chef-Prepared Lunches – Fresh, onsite meals to keep you fueled and focused.
  • Snacks & Refreshments – Enjoy a variety of snacks and drinks available throughout the day.
  • Wellness Perks – Access to a gym, pickleball court, and an outdoor dog kennel.
  • Dog-Friendly Environment – Bring your four-legged friends to work and enjoy a pet-welcoming space.
  • Comprehensive Health Coverage – Medical, dental, vision, and disability insurance, with over 82% of premiums covered—and 100% for everything else.
  • 401(k) with Match – Company contributions that are yours from day one.
  • High-Performance Culture – Join a collaborative, inclusive environment where your work helps shape the future of aerospace.


Equal Opportunity Employer:

Sceye is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, disability, veteran status, or any other legally protected status.


We encourage individuals from all backgrounds to apply, especially those who bring unique perspectives and experiences that can help us grow and innovate. If you require reasonable accommodation during the application or interview process, please contact us—we're happy to assist.