Early-Career Data Scientist – ND Analytics Team (Onsite)

Sandia National Laboratories

Albuquerque (NM)

On-site

USD 102,000 - 200,000

Full time

6 days ago
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Benefits offered by this job

9/80 compressed work schedule
4/10 compressed work week
Telecommuting option
Relocation assistance
Generous vacation and benefits

Job summary

Sandia National Laboratories in Albuquerque seeks an early-career Data Analyst to join the ND Data Analytics Team. You will develop and maintain tools for verification, plotting, and qualification outputs across current and emerging programs.

Candidates should have a Computer Science, Software Engineering, or STEM background, experience with MATLAB, Python, and GitLab, and be able to work onsite in a fast-paced, collaborative environment.

Qualifications

  • 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 level security clearance

Responsibilities

  • Verify requirements and identify trends using data analytics.
  • Develop tools to verify, plot, and qualify outputs for programs.
  • Collaborate in an agile environment using GitLab and MATLAB code updates.
  • Run, maintain, or improve existing MATLAB code per request.
  • Collaborate with engineers on emerging systems and testing.

Skills

MATLAB
Python
Git
SCRUM
MBSE
Matplotlib
Pandas
Data analytics
Object-Oriented programming
Software development

Education

Bachelor's degree in a relevant discipline

Tools

Simulink

Job description

Sandia National Laboratories in Albuquerque seeks an early-career Data Analyst to join the ND Data Analytics Team. You will develop and maintain tools for verification, plotting, and qualification outputs across current and emerging programs.

Candidates should have a Computer Science, Software Engineering, or STEM background, experience with MATLAB, Python, and GitLab, and be able to work onsite in a fast-paced, collaborative environment.

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