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Entry Level Data Scientist Jobs in Rio Rancho, NM

SynergisticIT

Machine Learning Engineer

Rio Rancho, NM

$81K - $150K/yr

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

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 ...

AECOM

Entry Level Structural Engineer

Albuquerque, NM · On-site

... scientists, digital innovators, program and construction managers and other professionals ... Participate in collecting and analyzing field data. * Using computer software as a tool for solving ...

RSM

TESS Intern - Fall 2026

Albuquerque, NM

$14.50 - $19.50/hr

Developing data and storage requirements, reporting, analytics, and delivery methods in data ... Bachelors or Associates degree in process with Computer Science, Information Systems, Business ...

Geo-Logic Associates

Staff I Engineer

Albuquerque, NM · On-site

... entry-level engineer seeking challenging projects, career advancement, employee ownership, and a ... Collecting field data and troubleshooting system and equipment operation * Preparing reports ...

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All JobsData Scientist JobsEntry Level Data Scientist JobsEntry Level Data Scientist Jobs in Rio Rancho, NM

Entry Level Data Scientist information

See Rio Rancho, NM salary details

$43.3K

$155.2K

$229K

How much do entry level data scientist jobs pay per year?

As of Jun 9, 2026, the average yearly pay for entry level data scientist in Rio Rancho, NM is $155,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,600.00 and $159,900.00 per year, depending on experience, location, and employer.

What Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

How to get a data science job with no experience?

Entry level data scientist roles often require strong foundational skills in programming (Python or R), statistics, and data manipulation. Gaining experience through online courses, personal projects, internships, or certifications like those from Coursera or edX can improve your chances; building a portfolio with real-world datasets is also beneficial.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

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 solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

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

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

More about Entry Level Data Scientist jobs
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 job categories do people searching Entry Level Data Scientist jobs in Rio Rancho, NM look for? The top searched job categories for Entry Level Data Scientist jobs in Rio Rancho, NM are:
What cities near Rio Rancho, NM are hiring for Entry Level Data Scientist jobs? Cities near Rio Rancho, NM with the most Entry Level Data Scientist job openings:
Entry Level Data Scientist jobs near you
Infographic showing various Entry Level Data Scientist job openings in Rio Rancho, NM as of May 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $155,217 per year, or $74.6 per hour.
Entry Level ML Engineer

Entry Level ML Engineer

SynergisticIT

Albuquerque, NM

Other

Posted 13 days ago

Job description

SYNERGISTICIT wants every candidate to know that the Job Market is Challenging and to stand out, you need to have exceptional skills and technologies and that's where we come in to make sure you get the attention which you need
Position open for all visas and US citizens
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists.
We welcome candidates with all visas and citizens to apply.
Who Should Apply : Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry
Candidates who are serious about their future in the IT Industry and have set big goals for themselves.
Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer Skill enhancement programs if the candidates are missing skills or experience which our clients need with great outcomes
Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement
Candidates who Lack Experience
Have had a break in careers
Lack Technical Competency
Different visa candidates who want to get employed and settle down in the USA
Please also check the below links :
https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
If not a match candidates can opt for Skill enhancement.
REQUIRED SKILLS For Java/Software Programmers :
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Core Java , javascript , C++ or software programming
  • Spring boot, Microservices and REST API's experience
  • Excellent written and verbal communication skills
For data Science/Machine learning
REQUIRED SKILLS
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, Python, data visualization tools
  • Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, Time series analysis
Please understand skills are required by clients for selection even if its Junior or entry level position the additional skills are the only way a candidate can be picked by clients.
No third party candidates or c2c candidates
Please understand skills are required by clients for selection even if its Junior or entry level position the additional skills are the only way a candidate can be picked by clients.
Please apply to the posting
No phone calls please. Shortlisted candidates would be reached out

Apply