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Entry Level Data Science Jobs in New Mexico (NOW HIRING)

Data Clean LLC

Technician 1 (68969)

Los Lunas, NM

$35K - $45K/yr

... and life sciences facilities. For over 45 years, we've helped protect the performance and ... Our entry-level Data Center Cleaning Technician 1 is to ensure clean, safe, and well-maintained ...

United States Army

Active Entomologist

Albuquerque, NM · On-site

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

CEHMM

Field Technician - Conservation

Milnesand, NM

$22 - $27/hr

Enter, organize, and manage field data in spreadsheets, databases, or GIS * Assist with the ... Other duties as assigned This is an entry level position; we are prepared to train the right ...

Los Alamos National Laboratory

Research Tec 1

Los Alamos, NM · On-site

$16.25 - $22.50/hr

... science on behalf of national security. The work we do at Los Alamos National Laboratory (LANL ... Support data collection and begin developing basic analysis and interpretation skills * Work under ...

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Entry Level Data Science information

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How much do entry level data science jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for entry level data science in New Mexico is $18.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $20.72 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
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 Entry Level Data Science jobs in New Mexico? For Entry Level Data Science jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in New Mexico look for? The top searched job categories for Entry Level Data Science jobs in New Mexico are:
What cities in New Mexico are hiring for Entry Level Data Science jobs? Cities in New Mexico with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in New Mexico as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $38,404 per year, or $18.5 per hour.
Technician 1 (68969)

Technician 1 (68969)

Data Clean LLC

Los Lunas, NM

$35K - $45K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

Promera is a leading provider of critical environment management solutions for mission critical environments, including data centers, cleanrooms, and life sciences facilities. For over 45 years, we’ve helped protect the performance and reliability of some of the world’s most demanding spaces. Our clients include top general contractors, hyperscale cloud providers, colocation facilities, and enterprises that rely on safe, compliant, and expertly maintained environments. Promera is ISO 9001:2015 and ISO 14001 certified, demonstrating our commitment to service excellence and operational efficiency. 

Our entry-level Data Center Cleaning Technician 1 is to ensure clean, safe, and well-maintained environments that protect customer critical infrastructure and support their operational efficiency. Their work helps safeguard sensitive equipment from dust, contamination, and other hazards that could impact performance.  

What You’ll Work On 

  • Follow all safety rules and wear the right safety gear. 

  • Use tools and equipment the correct way. 

  • Report anything unsafe right away. 

  • Be ready for emergencies like spills, fires, or needing to leave the building quickly. 

  • Keep your work area clean and organized. 

  • Finish your work on time and do your best. 

  • Talk and work well with your team and supervisor. 

  • Get your OSHA 10 safety certificate within six months of starting the job. 

What You’ll Need  

  • Be at least 18 years old. 

  • Be able to read and speak English at a grade 5 level. 

  • Be allowed to work in the U.S. without sponsorship. 

  • Pass a background check and drug test. 

  • Have a valid driver’s license and a clean driving record. 

  • Show up on time and work your full schedule. 

  • Let your team know ahead of time if you’ll be absent. 

  • Be okay with changes in your work schedule. 

  • Follow detailed instruction. 

  • Be able to lift up to 50 pounds and stand for long periods. 

  • Be willing to travel and stay overnight for work when needed. 

Required Physical Demands 

  • While performing the duties of this job, the employee is regularly required to talk or hear.   

  • The employee is regularly required to walk, stand, and sit for prolonged periods of time. 

  • The employee is frequently required to stoop, bend, kneel, climb, reach, twist, grasp, and make repetitive hand movements in the performance of daily duties. 

  • At times, employee is required to: work from ladders or vertical lifts; to lift or carry items weighing up to 50 lbs, push or pull heavy rolling loads; to operate assigned equipment and vehicles; and to verbally communicate to exchange information.   

  • Specific vision requirements include the ability to see at close range, distance vision, peripheral vision, depth perception, and the ability to adjust focus. 

  • At times, may require more than 40 hours per week to perform the essential duties of the position. 

  • At times, overnight travel will be required. Accommodation and per diem will be provided. 

Benefits  

  • Competitive pay based on experience and location 

  • Growth Incentive Sharing Plan eligible 

  • Paid on-the-job training, and continued learning, including certifications 

  • Paid Time Off 

  • Medical, Dental, Vision plans  

  • Life, Disability and other Voluntary coverage 

  • 401k + matching  

  • Employee Assistance Program 

  • Promotion opportunities 

We are an Equal Opportunity Employer and value diversity in our workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. 

Qualifications

  • Be at least 18 years old. 

  • Be able to read and speak English at a 5th grade level. 

  • Be allowed to work in the U.S. without sponsorship. 

  • Pass a background check and drug test. 

  • Have a valid driver’s license and a clean driving record. 

  • Show up on time and work your assigned schedule. 

  • Let your team know ahead of time if you’ll be absent. 

  • Be okay with changes in your work schedule. 

  • Follow detailed instruction. 

  • Be able to lift up to 50 pounds and stand for long periods. 

  • Be willing to travel and stay overnight for periods of time, when needed. 

Benefits  

  • Competitive Pay 

  • Paid on-the-job training, and continued learning, including certifications 

  • Paid Time Off 

  • Medical, Dental, Vision plans  

  • Life, Disability and other Voluntary coverage 

  • 401k + matching  

  • Employee Assistance Program 

  • Promotion opportunities 

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