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Associate Data Scientist Deep Learning Jobs in Albuquerque, NM

... deep learning fundamentals. Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science ...

Data Science Tutor

Albuquerque, NM · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that ... Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ...

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ...

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and ... Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ...

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Associate Data Scientist Deep Learning information

See Albuquerque, NM salary details

$55.7K

$66K

$125K

How much do associate data scientist deep learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for associate data scientist deep learning in Albuquerque, NM is $65,952.00, 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 is the difference between Associate Data Scientist Deep Learning vs Data Scientist?

AspectAssociate Data Scientist Deep LearningData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related; familiarity with deep learning frameworksBachelor's or Master's in CS, Statistics, or related; broader data analysis skills
Work EnvironmentFocus on developing deep learning models, often in AI or ML teamsBroader data analysis, visualization, and modeling across various projects
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, retail, tech, and more

The main difference is that Associate Data Scientist Deep Learning specializes in developing deep learning models, requiring specific knowledge of neural networks and frameworks. Data Scientists have a broader scope, including traditional data analysis, statistical modeling, and visualization. Both roles often require similar educational backgrounds but differ in technical focus and project types.

Early Career Data Scientist - Perceptive Systems, Onsite

Sandia

Albuquerque, NM • On-site

$102K - $199K/yr

Full-time

Medical, Retirement, PTO

Posted 8 days ago


Job description

About Sandia
Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
  • Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
  • Extraordinary co-workers
  • Some of the best tools, equipment, and research facilities in the world
  • Career advancement and enrichment opportunities
  • Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
  • Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov
*These benefits vary by job classification.
What Your Job Will Be Like
Passionate about your work and dream of joining a dynamic team that solves challenging issues for our nation's security? Join us and unleash your potential!
We are looking for data scientists/engineers with a broad set of technical skills to take on problems across including:
  • Applied research across multiple mission domains
  • Solving Broad Data Science Problems
  • Machine Learning / Deep Learning Modeling and Algorithm Development
  • Prototyping and pathfinding new concepts to solve technology challenges which mitigate risk and provide future solutions for projects
  • Image and signal processing, computer vision application and research
  • Uncertainty Quantification for MLDL and other algorithms in high-consequence applications
  • Growth and focus in data analysis across a number of sources including remote sensing, systems testers, and microscopes

On any given day the selected candidate may be called on to:
  • Be a member of a group of researchers/engineers working to solve difficult scientific problems for national security purposes
  • Apply state-of-the art techniques which solve the most challenging data analysis problems for a wide array of customers.
  • Work collaboratively with customers to understand requirements, available data and mission need
  • Contribute to deeply rewarding missions through engagement with diverse computer science specialties and in areas such as data fusion, signal processing, analytics, cloud computing, machine learning, modeling/simulation, service oriented architectures, and in the future big-data management and visualization, plus pattern recognition
  • Engage in Laboratory Directed Research and Development (LDRD) Proposals.
  • Engage in presenting, publishing and collaborating to advance groundbreaking research

Due to the nature of the work, the selected applicant must be able to work onsite.
Salary Range
$102,400 - $199,700
*Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.
Qualifications We Require
  • A Bachelor's degree in a relevant discipline or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development.
  • Ability to obtain and maintain a DOE Q and SCI clearance.

Qualifications We Desire
The ideal R&D S&E, Data Science candidate for Sandia National Laboratories will in addition possess the following:
  • Graduate degree in a relevant computationally-intensive discipline where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation).
  • Experience in developing software for enterprise and national security applications.
  • Experience acquiring, preparing, and analyzing real world data.
  • Demonstrated software development skills and familiarity with modern software development practices.
  • Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment.

Also, for this posting we are seeking individuals with the following experience:
  • Space Domain background.
  • Experience in researching and developing solutions in the areas of Space Situational Awareness (SSA) and Space Control (SC).

About Our Team
The Perceptive Systems department specializes in the exploration, development, and analysis of emergent and disruptive technologies in computer science to solve complex problems. We bring to bear diverse expertise in mission analysis, software engineering, web services, big data management and visualization, image processing, machine learning, and modeling and simulation, which are applied to a myriad of sensor data processing challenges across the laboratory. Our research and capabilities drive innovative solutions in big data understandability, providing tools for analysis and visualization that help customers make decisions.
Posting Duration
This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.
Security Clearance
Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance and SCI access, both of which require US citizenship. SCI access may also require a polygraph examination. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain these levels of access may be impacted.
Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by the DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.
EEO
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.
NNSA Requirements for MedPEDs
If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.