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Data Science Associate Jobs in New Mexico (NOW HIRING)

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Data Science Associate information

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$55.7K

$65.9K

$125K

How much do data science associate jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data science associate in New Mexico is $65,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $57,700.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

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 job categories do people searching Data Science Associate jobs in New Mexico look for? The top searched job categories for Data Science Associate jobs in New Mexico are:
What cities in New Mexico are hiring for Data Science Associate jobs? Cities in New Mexico with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in New Mexico as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $65,935 per year, or $31.7 per hour.

Postdoctoral Research Associate in Computational Chemistry and Data Science

Los Alamos National Laboratory

Los Alamos, NM • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 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 120 rated laboratories


Job description

Description
Job Title Postdoctoral Research Associate in Computational Chemistry and Data Science
Location Los Alamos, NM, US
Organization Name T-DO/THEORETICAL
Minimum Salary
Maximum Salary
What You Will Do
The Physics and Chemistry of Materials group and the Quantum and Condensed Matter Physics groups in the Theoretical Division at Los Alamos National Laboratory invite applications for an immediate postdoctoral opening in computational chemistry and data science. The successful candidate will work at the exciting intersection of computational chemistry, machine learning, and kinetic simulations to advance materials design and deepen mechanistic understanding of chemical processes. This opportunity offers the chance to join a vibrant, multidisciplinary research environment that brings together leading theoretical, computational, and experimental expertise to address fundamental scientific questions with real-world applications.
What You Need
Minimum Job Requirements:
Education/Experience : Ph.D. in either theoretical/computational Chemistry, Physics, Physical Chemistry, or related area completed within the last 5 years or to be completed this summer/fall.
Clearance: The selected candidate must be a U.S. citizen and have the ability to obtain and maintain a DOE Q clearance.
The successful candidate should have:
  • Strong knowledge and demonstrated experience in electronic-structure calculations and/or data science/machine leaning as supported by an excellent record of scientific publications.
  • Experience with chemical thermodynamics and kinetics calculations, or computational chemistry for materials design.
  • Experience programming in high-level languages, particularly Python, and experience working in high-performance computing environments.
  • Ability to work creatively and independently while learning from and collaborating with experts as part of a multidisciplinary team.
  • Strong communication and writing skills, as demonstrated by publications, cover letter, and interview.

Desired Qualifications:
In addition to the minimum requirements, the following qualifications are desired, and preference will be given to candidates satisfying ( at least one ) of them:
  • Experience in chemical kinetics codes such as Cantera or RMG, or in running electronic structure calculations using Gaussian 16 code and/or VASP code.
  • Experience in performing high-throughput calculations using high-throughput frameworks (e.g., pyiron, aflow, or pymatgen, etc) and/or using cheminformatics tools (e.g., RDKit).
  • Experience in machine learning for materials discovery including the use of, e.g., Pytorch, Tensorflow, JAX, and machine learning packages for molecular systems (e.g., Chemprop).
  • Experience with high-performance computing, GPU programming, parallel programming, and related paradigms.
  • Willingness to work productively on multiple projects.

Work Environment:
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:
Contact one of the project members with questions about this position:
  • Ivana (née Matanovic) Gonzales (ivana@lanl.gov)
  • Wilton Kort-Kamp (kortkamp@lanl.gov)
  • Alex Munoz (alexmunoz@lanl.gov)

To start your application, please upload
  • CV with full publication list
  • a brief statement of research interests and future plans (maximum of one page),
  • the contacts of at least three references.

Review of applications will begin immediately and will continue until the position is filled. The position has an initial appointment of 2 years, with a possible extension for a 3rd year depending on performance and availability of funds.
Candidates may be considered for a fellowship supported by the Center for Nonlinear Studies (CNLS). Outstanding candidates may be considered for a Director's Postdoc Fellowship or for the prestigious Richard P. Feynman, Darleane Christian Hoffman, J. Robert Oppenheimer, or Frederick Reines Distinguished Postdoc Fellowships.
Additional information on salary ranges and other benefits can be found online at https://www.lanl.gov/careers/career-options/postdoctoral-research/index.php?source=globalheadernav .
For more information about the Postdoc Program, go to https://www.lanl.gov/careers/career-options/postdoctoral-research/index.php
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 Northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. LANL enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns. 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.
Incentive Compensation Program: For general program information refer to the Student Programs web page: https://www.lanl.gov/careers/career-options/student-internships/index.php
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 applicable 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 a disability accommodation, email applyhelp@lanl.gov or call (505) 664-6947, opt. 3.
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 Postdoc
Postdoc

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