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Data Science Associate Jobs in New Mexico (NOW HIRING)

Bristol Myers Squibb

$164.05K - $198.79K/yr

Associate Director, Real World Data Strategy Description RWD Strategy is accountable for strategic ... Advanced degree (Master in life science or data-related field, or MBA) * 5+ years of experience in ...

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$55.7K

$65.9K

$125K

How much do data science associate jobs pay per year?

As of May 29, 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.

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.

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.

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.

Is data science dead in 10 years?

Data Science Associate roles are expected to remain relevant in the next decade as organizations continue to rely on data-driven decision making. Advances in automation and AI may change some tasks, but skills in statistical analysis, programming, and machine learning will still be valuable for interpreting complex data. Continuous learning and adapting to new tools like Python, R, and cloud platforms will be important for future success in the field.

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:
Data Science Associate jobs near you
Research Scientist, Associate

Research Scientist, Associate

New Mexico state Universoty

Las Cruces, NM • On-site

Other

Posted 28 days ago

New Mexico State University rating

7.3

Company rating: 7.3 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

281st of 529 rated colleges and universities

Job description

Research Scientist, Associate

Apply now Job no: 503547
Work type: Staff Full-Time
Location: Las Cruces
Categories: Staff

Department Contact: Simeon Schum, 575-646-1144 & skschum@nmsu.edu

Internal or External Search: External - Open to all applicants

Advertising Summary: Join the exciting research team at a regionally impactful laboratory, solving real world challenges for the State of New Mexico and beyond.

Position Details

Position Title: Research Scientist, Associate

College/Division: Research, Creativity and ED

Department: 470039-RESEARCH CORES PROGRAM

Location: Las Cruces

Offsite Location (if applicable):

Target Hourly/Salary Rate: commensurate with qualifications.

Appointment Full-time Equivalency: 1.0

FLSA Status: Exempt

Bargaining Unit Announcement: This is NOT a bargaining unit position with American Federation of State, County & Municipal Employees (AFSCME).

Contingent Upon Funding: Contingent upon external funding

Standard Work Schedule: Standard (M-F, 8-5)

If Not a Standard Work Schedule: 

Job Duties and Responsibilities: Conducts experiments, data analysis and summation under the direction of the laboratory director for research projects of the Research Cores Program.  Analyzes and interprets data using statistical tools and methodologies, ensuring accuracy and relevance.  Works with faculty, students, and other researchers to support ongoing projects and fosters interdisciplinary collaboration. Provides guidance and training to undergraduate and graduate students involved in research projects. Prepares reports and presentations to communicate research findings to stakeholders, including academic and professional audiences. Ensures that all research activities comply with ethical standards and institutional guidelines. Supports the daily operations of research facilities, including maintenance of equipment and ensuring safety protocols. Stays current with scientific literature and advancements in the field relevant to the research focus. Engages with the broader community to promote research initiatives and disseminate findings.  Performs miscellaneous job-related duties as assigned.

Qualifications

Required Education and Experience: 
Bachelor's degree + 5 years of relevant experience.

Equivalent Qualifications: 
N/A

Preferred Qualifications: 
PhD or equivalent in the field of environmental and water research with a focus on high resolution mass spectrometry techniques. 1 year post PhD of professional experience related to the standard duties as outlined.

Special Certification/Licensure: 

Working Conditions and Physical Effort

Environment: Work involves almost constant exposure to unusual elements: i.e. extreme temp, toxic chemicals, biohazardous materials, dirt, dust, fumes, smoke, loud noises, other potentially dangerous materials/situations that require safety precaution/protective equip

Physical Effort: No or very limited physical effort required.

Lifting Requirements: Requires handling of average-weight objects up to 10 pounds or some standing or walking.

Risk: Work environment involves exposure to potentially dangerous materials and situations that require following extensive safety precautions and may include the use of protective equipment.

Advertised: 12 May 2026 Mountain Daylight Time
Applications close: 26 May 2026 Mountain Daylight Time

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