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Junior Data Scientist Jobs in Rio Rancho, NM (NOW HIRING)

Job Prospects | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT Is AI ...

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

... scientist team members that assist them in building and optimizing our data products. • Grow your communication and technical skills by merging consulting and big data to create data-centric ...

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 ...

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 ...

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 ...

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 ...

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Showing results 1-20

Junior Data Scientist information

See Rio Rancho, NM salary details

$35.5K

$116.1K

$185.9K

How much do junior data scientist jobs pay per year?

As of Jun 10, 2026, the average yearly pay for junior data scientist in Rio Rancho, NM is $116,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $128,700.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Scientist vs Data Analyst?

AspectJunior Data ScientistData 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; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and advanced analyticsFocuses on data cleaning, visualization, and reporting; often works with business teams
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Junior Data Scientists and Data Analysts often share educational backgrounds and work in data-driven industries. However, Junior Data Scientists typically engage in more complex modeling and machine learning tasks, while Data Analysts focus on data visualization and reporting. Both roles are essential for data teams but differ in technical depth and responsibilities.

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

A Junior Data Scientist needs a solid understanding of statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in mathematics, computer science, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn), and database systems (SQL) is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills help distinguish individuals in this role. These competencies are essential for extracting insights from data, collaborating with teams, and driving data-informed decision-making.

What types of projects do Junior Data Scientists typically work on, and how do they contribute to larger team goals?

Junior Data Scientists often work on data cleaning, exploratory data analysis, and supporting the development and testing of machine learning models. They usually collaborate with senior data scientists and data engineers, contributing by preparing datasets, running analyses, and creating visualizations to help inform business decisions. This role offers valuable exposure to real-world data challenges and provides opportunities to learn best practices in data science, paving the way for advancement to more complex modeling and project leadership as experience grows.

What are Junior Data Scientists?

Junior Data Scientists are entry-level professionals who assist in analyzing and interpreting complex data to help organizations make informed decisions. They are typically responsible for tasks such as data cleaning, exploratory data analysis, creating basic models, and supporting senior data scientists. Junior Data Scientists often work with tools like Python, R, SQL, and data visualization libraries. They collaborate with other team members to translate business problems into analytical solutions and continuously develop their technical and analytical skills.
What are the most commonly searched types of Data Scientist jobs in Rio Rancho, NM? The most popular types of Data Scientist jobs in Rio Rancho, NM are:
What are popular job titles related to Junior Data Scientist jobs in Rio Rancho, NM? For Junior Data Scientist jobs in Rio Rancho, NM, the most frequently searched job titles are:
What job categories do people searching Junior Data Scientist jobs in Rio Rancho, NM look for? The top searched job categories for Junior Data Scientist jobs in Rio Rancho, NM are:
What cities near Rio Rancho, NM are hiring for Junior Data Scientist jobs? Cities near Rio Rancho, NM with the most Junior Data Scientist job openings:
Infographic showing various Junior Data Scientist job openings in Rio Rancho, NM as of June 2026, with employment types broken down into 2% Locum Tenens, 71% Full Time, 25% Part Time, and 2% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $116,145 per year, or $55.8 per hour.
DATA SCIENTIST

$49K/yr

Other

Posted 3 days ago


Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER